爱可可-爱生活的技术动态
爱可可-爱生活
2020-02-03 19:09:25 发布
【日常有用脚本分享】’useful-scripts - useful scripts for making developer's everyday life easier and happier, involved java, shell etc.' by oldratlee GitHub:
网页链接
2020-02-03 19:09:25 发布
【日常有用脚本分享】’useful-scripts - useful scripts for making developer's everyday life easier and happier, involved java, shell etc.' by oldratlee GitHub:
网页链接
爱可可-爱生活
2020-02-01 10:08:44 发布
【2020 AI相关开源项目精选】《AI Most Promising Open Source Projects in 2020》by Haggai Shachar网页链接
2020-02-01 10:08:44 发布
【2020 AI相关开源项目精选】《AI Most Promising Open Source Projects in 2020》by Haggai Shachar
网页链接
爱可可-爱生活
2020-01-31 00:00:00 发布
【将Go语言开发的包载入到Python程序】’gopy - gopy generates a CPython extension module from a go package.' GitHub:网页链接
2020-01-31 00:00:00 发布
【将Go语言开发的包载入到Python程序】’gopy - gopy generates a CPython extension module from a go package.' GitHub:
网页链接
爱可可-爱生活
2020-01-30 05:46:23 发布
《Mining social media data for biomedical signals and health-related behavior》R B Correia, I B. Wood, J Bollen, L M. Rocha [Instituto Gulbenkian de Ciência & Indiana University] (2020)网页链接 view:网页链接
2020-01-30 05:46:23 发布
《Mining social media data for biomedical signals and health-related behavior》R B Correia, I B. Wood, J Bollen, L M. Rocha [Instituto Gulbenkian de Ciência & Indiana University] (2020)
网页链接 view:网页链接
爱可可-爱生活
2020-01-30 05:42:23 发布
《Evolutionary Dynamics of Higher-Order Interactions》U Alvarez-Rodriguez, F Battiston, G F d Arruda, Y Moreno, M Perc, V Latora [Basque Centre for Climate Change (BC3) & Central European University & ISI Foundation] (2020)网页链接 view:网页链接
2020-01-30 05:42:23 发布
《Evolutionary Dynamics of Higher-Order Interactions》U Alvarez-Rodriguez, F Battiston, G F d Arruda, Y Moreno, M Perc, V Latora [Basque Centre for Climate Change (BC3) & Central European University & ISI Foundation] (2020)
网页链接 view:网页链接
爱可可-爱生活
2020-01-30 05:39:23 发布
《Controlling generative models with continuous factors of variations》A Plumerault, H L Borgne, C Hudelot [Analyse Sémantique Texte et Image & Université Paris-Saclay] (2020)网页链接 view:网页链接 GitHub:网页链接
2020-01-30 05:39:23 发布
《Controlling generative models with continuous factors of variations》A Plumerault, H L Borgne, C Hudelot [Analyse Sémantique Texte et Image & Université Paris-Saclay] (2020)
网页链接 view:网页链接 GitHub:网页链接
爱可可-爱生活
2020-01-30 05:35:23 发布
《EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum》M Demuru, M Fraschini [Stichting Epilepsie Instellingen Nederland (SEIN) & University of Cagliari] (2020)网页链接 view:网页链接
2020-01-30 05:35:23 发布
《EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum》M Demuru, M Fraschini [Stichting Epilepsie Instellingen Nederland (SEIN) & University of Cagliari] (2020)
网页链接 view:网页链接
爱可可-爱生活
2020-01-30 05:33:23 发布
《Learning a distance function with a Siamese network to localize anomalies in videos》B Ramachandra, M J. Jones, R R Vatsavai [North Carolina State University & Mitsubishi Electric Research Labs (MERL)] (2020)网页链接 view:网页链接
2020-01-30 05:33:23 发布
《Learning a distance function with a Siamese network to localize anomalies in videos》B Ramachandra, M J. Jones, R R Vatsavai [North Carolina State University & Mitsubishi Electric Research Labs (MERL)] (2020)
网页链接 view:网页链接
爱可可-爱生活
2020-01-30 05:29:23 发布
*《Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications》N N Taleb (2020)网页链接 view:网页链接
2020-01-30 05:29:23 发布
*《Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications》N N Taleb (2020)
网页链接 view:网页链接
爱可可-爱生活
2020-01-30 05:12:23 发布
*《Multi-task self-supervised learning for Robust Speech Recognition》M Ravanelli, J Zhong, S Pascual, P Swietojanski, J Monteiro, J Trmal, Y Bengio [Universite de Montreal & University of Rochester & Universitat Politecnica de Catalunya & University of New South Wales] (2020)
网页链接 view:网页链接 GitHub:网页链接
2020-01-30 05:12:23 发布
*《Multi-task self-supervised learning for Robust Speech Recognition》M Ravanelli, J Zhong, S Pascual, P Swietojanski, J Monteiro, J Trmal, Y Bengio [Universite de Montreal & University of Rochester & Universitat Politecnica de Catalunya & University of New South Wales] (2020)
网页链接 view:网页链接 GitHub:网页链接
爱可可-爱生活
2020-01-29 15:07:30 发布
【哈佛《神经科学数学工具》课程——用神经数据集讲解线性代数、微分方程、概率与统计等数学概念(Matlab)】《NEUROBIO 314QC: Mathematical Tools for Neuroscience》by Lucy Lai, Alex Chen网页链接
2020-01-29 15:07:30 发布
【哈佛《神经科学数学工具》课程——用神经数据集讲解线性代数、微分方程、概率与统计等数学概念(Matlab)】《NEUROBIO 314QC: Mathematical Tools for Neuroscience》by Lucy Lai, Alex Chen
网页链接
爱可可-爱生活
2020-01-29 15:07:30 发布
几篇论文实现代码：
《f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation》(2020) GitHub:网页链接
《Hierarchical Deep Stereo Matching on High Resolution Images》(CVPR 2019) GitHub:网页链接
《Towards accurate one-stage object detection with AP-loss》(CVPR 2019) GitHub:网页链接
《Dream to Control: Learning Behaviors by Latent Imagination》(2019) GitHub:网页链接
《Progressive Perception-Oriented Network for Single Image Super-Resolution》(2019) GitHub:网页链接
《What's Going On in Neural Constituency Parsers? An Analysis》(NAACL 2018) GitHub:网页链接
2020-01-29 15:07:30 发布
几篇论文实现代码：
《f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation》(2020) GitHub:
网页链接《Hierarchical Deep Stereo Matching on High Resolution Images》(CVPR 2019) GitHub:
网页链接《Towards accurate one-stage object detection with AP-loss》(CVPR 2019) GitHub:
网页链接《Dream to Control: Learning Behaviors by Latent Imagination》(2019) GitHub:
网页链接《Progressive Perception-Oriented Network for Single Image Super-Resolution》(2019) GitHub:
网页链接《What's Going On in Neural Constituency Parsers? An Analysis》(NAACL 2018) GitHub:
网页链接
爱可可-爱生活
2020-01-29 15:07:30 发布
【Decomp：通用分解语义(UDS)数据集工具包】’Decomp - The Universal Decompositional Semantics (UDS) dataset and the Decomp toolkit' GitHub:网页链接 paper:《The Universal Decompositional Semantics Dataset and Decomp Toolkit》网页链接
2020-01-29 15:07:30 发布
【Decomp：通用分解语义(UDS)数据集工具包】’Decomp - The Universal Decompositional Semantics (UDS) dataset and the Decomp toolkit' GitHub:
网页链接 paper:《The Universal Decompositional Semantics Dataset and Decomp Toolkit》网页链接
爱可可-爱生活
2020-01-29 15:07:30 发布
【英文字符串概率切分器】’Word Ninja - Probabilistically split concatenated words using NLP based on English Wikipedia unigram frequencies.' by Derek Anderson GitHub:网页链接
2020-01-29 15:07:30 发布
【英文字符串概率切分器】’Word Ninja - Probabilistically split concatenated words using NLP based on English Wikipedia unigram frequencies.' by Derek Anderson GitHub:
网页链接
爱可可-爱生活
2020-01-29 14:07:30 发布
【跨平台REST客户端】’Insomnia REST Client - Cross-platform HTTP and GraphQL Client' by Kong GitHub:网页链接
2020-01-29 14:07:30 发布
【跨平台REST客户端】’Insomnia REST Client - Cross-platform HTTP and GraphQL Client' by Kong GitHub:
网页链接
爱可可-爱生活
2020-01-29 14:07:36 发布
【周公解梦聊天机器人】’tensorflow-seq2seq-dream-decoder - 说出你的梦境(dream)，模型自动解析decode梦境的征兆' by saiwaiyanyu GitHub:网页链接
2020-01-29 14:07:36 发布
【周公解梦聊天机器人】’tensorflow-seq2seq-dream-decoder - 说出你的梦境(dream)，模型自动解析decode梦境的征兆' by saiwaiyanyu GitHub:
网页链接
爱可可-爱生活
2020-01-29 14:07:36 发布
【(Python)做动作，打游戏】’Gesture Gaming with python' by Digant Patel GitHub:网页链接
2020-01-29 14:07:36 发布
【(Python)做动作，打游戏】’Gesture Gaming with python' by Digant Patel GitHub:
网页链接
爱可可-爱生活
2020-01-29 14:07:36 发布
【300+ 谷歌地球引擎交互式地图例子(Python notebooks)】’earthengine-py-notebooks - A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping' by Qiusheng Wu GitHub:网页链接
2020-01-29 14:07:36 发布
【300+ 谷歌地球引擎交互式地图例子(Python notebooks)】’earthengine-py-notebooks - A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping' by Qiusheng Wu GitHub:
网页链接
爱可可-爱生活
2020-01-29 14:07:36 发布
【C++数据序列化库性能评测】’cpp-serializers - Benchmark comparing various data serialization libraries (thrift, protobuf etc.) for C++' by Konstantin Sorokin GitHub:网页链接
2020-01-29 14:07:36 发布
【C++数据序列化库性能评测】’cpp-serializers - Benchmark comparing various data serialization libraries (thrift, protobuf etc.) for C++' by Konstantin Sorokin GitHub:
网页链接
爱可可-爱生活
2020-01-29 14:07:36 发布
【基于Core ML的iOS深度预测Demo】’DepthPrediction-CoreML - The example of running Depth Prediction using Core ML' by tucan9389 GitHub:网页链接
2020-01-29 14:07:36 发布
【基于Core ML的iOS深度预测Demo】’DepthPrediction-CoreML - The example of running Depth Prediction using Core ML' by tucan9389 GitHub:
网页链接
爱可可-爱生活
2020-01-29 11:07:41 发布
“Notes on ALBERT” by Rémi Louf paper:《ALBERT: A Lite BERT for Self-supervised Learning of Language Representations》网页链接
2020-01-29 11:07:41 发布
“Notes on ALBERT” by Rémi Louf paper:《ALBERT: A Lite BERT for Self-supervised Learning of Language Representations》
网页链接
爱可可-爱生活
2020-01-29 11:07:41 发布
【Distill文章撰写经验分享】《Distill Article: The Paths Perspective on Value Learning》by Sam Greydanus网页链接
2020-01-29 11:07:41 发布
【Distill文章撰写经验分享】《Distill Article: The Paths Perspective on Value Learning》by Sam Greydanus
网页链接
爱可可-爱生活
2020-01-29 11:07:41 发布
【Twitter数据相关资源列表】“awesome-twitter-data - A list of Twitter datasets and related resources” by Shay Palachy网页链接
2020-01-29 11:07:41 发布
【Twitter数据相关资源列表】“awesome-twitter-data - A list of Twitter datasets and related resources” by Shay Palachy
网页链接
爱可可-爱生活
2020-01-29 11:07:41 发布
【讨论：如何理解论文里的数学，如何读更多论文？】“[Discussion] How to understand Maths in research papers and how to read more papers?”网页链接
2020-01-29 11:07:41 发布
【讨论：如何理解论文里的数学，如何读更多论文？】“[Discussion] How to understand Maths in research papers and how to read more papers?”
网页链接
爱可可-爱生活
2020-01-29 10:07:41 发布
【数据科学最火的是啥技术/工具】《Data science: Which technologies are hot (and which are not)? | TechRepublic》by Matt Asay网页链接
2020-01-29 10:07:41 发布
【数据科学最火的是啥技术/工具】《Data science: Which technologies are hot (and which are not)? | TechRepublic》by Matt Asay
网页链接
爱可可-爱生活
2020-01-29 09:07:41 发布
【目标：“无所不聊”的对话机器人】《Towards a Conversational Agent that Can Chat About…Anything | Google AI Blog》网页链接 paper:《Towards a Human-like Open-Domain Chatbot》
微博正文
2020-01-29 09:07:41 发布
【目标：“无所不聊”的对话机器人】《Towards a Conversational Agent that Can Chat About…Anything | Google AI Blog》
网页链接 paper:《Towards a Human-like Open-Domain Chatbot》微博正文
爱可可-爱生活
2020-01-29 09:07:46 发布
【Kaggle比赛的升级】《Leveling-up Kaggle Competitions | Kaggle CTO Ben Hamner | Kaggle Days - YouTube》by Ben Hamner网页链接
2020-01-29 09:07:46 发布
【Kaggle比赛的升级】《Leveling-up Kaggle Competitions | Kaggle CTO Ben Hamner | Kaggle Days - YouTube》by Ben Hamner
网页链接
爱可可-爱生活
2020-01-29 09:07:46 发布
【Kaggle开放日：Kuzushiji日文古文字识别】《Kuzushiji Reconnition Competition | Kaggle Days - YouTube》by Tarin Clanuwat网页链接
2020-01-29 09:07:46 发布
【Kaggle开放日：Kuzushiji日文古文字识别】《Kuzushiji Reconnition Competition | Kaggle Days - YouTube》by Tarin Clanuwat
网页链接
爱可可-爱生活
2020-01-29 08:07:46 发布
【Kaggle开放日：决胜代码(kernel比赛)】《How to succeed in code (kernel) competitions | Kaggle Days - YouTube》by Dmitry Gordeev网页链接
2020-01-29 08:07:46 发布
【Kaggle开放日：决胜代码(kernel比赛)】《How to succeed in code (kernel) competitions | Kaggle Days - YouTube》by Dmitry Gordeev
网页链接
爱可可-爱生活
2020-01-29 08:07:46 发布
【卷积网络分层特征量的反思】《Challenging Common Deep Learning Conventions – Part 1: Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures》by Martin Mundt网页链接
2020-01-29 08:07:46 发布
【卷积网络分层特征量的反思】《Challenging Common Deep Learning Conventions – Part 1: Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures》by Martin Mundt
网页链接
爱可可-爱生活
2020-01-29 08:07:46 发布
【Label Studio：数据标注的“瑞士军刀”】《Introducing Label Studio, a swiss army knife of data labeling》by Nikolai Liubimov网页链接 GitHub:网页链接
2020-01-29 08:07:46 发布
【Label Studio：数据标注的“瑞士军刀”】《Introducing Label Studio, a swiss army knife of data labeling》by Nikolai Liubimov
网页链接 GitHub:网页链接
爱可可-爱生活
2020-01-26 18:23:11 发布
【认了吧：你有一盒这辈子都用不上的线】《Admit It: You Have a Box of Cords You’ll Never, Ever Use Again - WSJ》网页链接
2020-01-26 18:23:11 发布
【认了吧：你有一盒这辈子都用不上的线】《Admit It: You Have a Box of Cords You’ll Never, Ever Use Again - WSJ》
网页链接
爱可可-爱生活
2020-01-26 18:13:11 发布
几篇论文实现代码：
《Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision》(ICLR 2019) GitHub:网页链接
《Designing and Interpreting Probes with Control Tasks》(EMNLP 2019) GitHub:网页链接
《The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation》(CoRL 2019) GitHub:网页链接
《DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning》(2019) GitHub:网页链接
《Continual Local Replacement for Few-shot Image Recognition》(2019) GitHub:网页链接
《CCNet: Criss-Cross Attention for Semantic Segmentation》(2018) GitHub:网页链接
2020-01-26 18:13:11 发布
几篇论文实现代码：
《Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision》(ICLR 2019) GitHub:
网页链接《Designing and Interpreting Probes with Control Tasks》(EMNLP 2019) GitHub:
网页链接《The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation》(CoRL 2019) GitHub:
网页链接《DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning》(2019) GitHub:
网页链接《Continual Local Replacement for Few-shot Image Recognition》(2019) GitHub:
网页链接《CCNet: Criss-Cross Attention for Semantic Segmentation》(2018) GitHub:
网页链接
爱可可-爱生活
2020-01-26 18:12:11 发布
【数据可视化作品源码集(R)】’TidyTuesday Contributions' by Cédric Scherer GitHub:网页链接
2020-01-26 18:12:11 发布
【数据可视化作品源码集(R)】’TidyTuesday Contributions' by Cédric Scherer GitHub:
网页链接
爱可可-爱生活
2020-01-26 18:09:11 发布
【Zoltar：(JVM)TensorFlow/XGBoost/scikit-learn模型产品化加载库】’Zoltar - Common library for serving TensorFlow, XGBoost and scikit-learn models in production.' by Spotify GitHub:网页链接
2020-01-26 18:09:11 发布
【Zoltar：(JVM)TensorFlow/XGBoost/scikit-learn模型产品化加载库】’Zoltar - Common library for serving TensorFlow, XGBoost and scikit-learn models in production.' by Spotify GitHub:
网页链接
爱可可-爱生活
2020-01-26 15:09:11 发布
'Complete solutions for Stanford CS224n, winter, 2019' by Zac Bi GitHub:网页链接
2020-01-26 15:09:11 发布
'Complete solutions for Stanford CS224n, winter, 2019' by Zac Bi GitHub:
网页链接
爱可可-爱生活
2020-01-26 15:09:11 发布
【实时事件源大列表】’Real Time Event Sources - A directory of high quality real-time event sources.' by Tod Sacerdoti GitHub:网页链接
2020-01-26 15:09:11 发布
【实时事件源大列表】’Real Time Event Sources - A directory of high quality real-time event sources.' by Tod Sacerdoti GitHub:
网页链接
爱可可-爱生活
2020-01-26 15:09:11 发布
【Javascript算法实现库】’The Algorithms - repository for All algorithms implemented in Javascript (for educational purposes only)' GitHub:网页链接
2020-01-26 15:09:11 发布
【Javascript算法实现库】’The Algorithms - repository for All algorithms implemented in Javascript (for educational purposes only)' GitHub:
网页链接
爱可可-爱生活
2020-01-26 15:09:17 发布
【libdivide：C/C++整数除法优化头文件库】’libdivide: optimized integer division' by ridiculousfish GitHub:网页链接
2020-01-26 15:09:17 发布
【libdivide：C/C++整数除法优化头文件库】’libdivide: optimized integer division' by ridiculousfish GitHub:
网页链接
爱可可-爱生活
2020-01-26 09:08:08 发布
【哥伦比亚大学课程：经济学、AI与最优化】《Economics, AI, and Optimization | Christian Kroer》by Christian Kroer网页链接
2020-01-26 09:08:08 发布
【哥伦比亚大学课程：经济学、AI与最优化】《Economics, AI, and Optimization | Christian Kroer》by Christian Kroer
网页链接
爱可可-爱生活
2020-01-26 09:08:08 发布
【RSNA颅内出血比赛第二名方案解析】《The Image Classifier - 2nd Place Solution Breakdown - RSNA Intracranical Hemorrhage Competition》网页链接 GitHub:网页链接
2020-01-26 09:08:08 发布
【RSNA颅内出血比赛第二名方案解析】《The Image Classifier - 2nd Place Solution Breakdown - RSNA Intracranical Hemorrhage Competition》
网页链接 GitHub:网页链接
爱可可-爱生活
2020-01-26 08:08:08 发布
【市场走势预测(XTX全球预测比赛冠军分享)】《Predict movements in the market (XTX Markets Global Forecasting Challenge) - YouTube》by Adrey Rybin网页链接
2020-01-26 08:08:08 发布
【市场走势预测(XTX全球预测比赛冠军分享)】《Predict movements in the market (XTX Markets Global Forecasting Challenge) - YouTube》by Adrey Rybin
网页链接
爱可可-爱生活
2020-01-26 08:08:08 发布
【离散数据生成贝叶斯模型】《Generative Bayesian Models for Discrete Data - YouTube》by Nicholas Zabaras网页链接
2020-01-26 08:08:08 发布
【离散数据生成贝叶斯模型】《Generative Bayesian Models for Discrete Data - YouTube》by Nicholas Zabaras
网页链接
爱可可-爱生活
2020-01-26 08:08:08 发布
【Cristos Goodrow访谈：YouTube算法】《Cristos Goodrow: YouTube Algorithm | Artificial Intelligence (AI) Podcast - YouTube》网页链接
2020-01-26 08:08:08 发布
【Cristos Goodrow访谈：YouTube算法】《Cristos Goodrow: YouTube Algorithm | Artificial Intelligence (AI) Podcast - YouTube》
网页链接
爱可可-爱生活
2020-01-26 06:08:13 发布
《Towards Automated Statistical Physics : Data-driven Modeling of Complex Systems with Deep Learning》S Ha, H Jeong [Korea Advanced Institute of Science and Technology] (2020)网页链接 view:网页链接
2020-01-26 06:08:13 发布
《Towards Automated Statistical Physics : Data-driven Modeling of Complex Systems with Deep Learning》S Ha, H Jeong [Korea Advanced Institute of Science and Technology] (2020)
网页链接 view:网页链接
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2020-01-26 06:08:13 发布
《Target-Embedding Autoencoders for Supervised Representation Learning》D Jarrett, M v d Schaar [University of Cambridge] (2020)网页链接 view:网页链接
2020-01-26 06:08:13 发布
《Target-Embedding Autoencoders for Supervised Representation Learning》D Jarrett, M v d Schaar [University of Cambridge] (2020)
网页链接 view:网页链接
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2020-01-26 06:08:13 发布
《Graph Inference Learning for Semi-supervised Classification》C Xu, Z Cui, X Hong, T Zhang, J Yang, W Liu [Nanjing University of Science and Technology & Tencent AI Lab] (2020)网页链接 view:网页链接
2020-01-26 06:08:13 发布
《Graph Inference Learning for Semi-supervised Classification》C Xu, Z Cui, X Hong, T Zhang, J Yang, W Liu [Nanjing University of Science and Technology & Tencent AI Lab] (2020)
网页链接 view:网页链接
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2020-01-26 06:08:13 发布
《On Model Evaluation under Non-constant Class Imbalance》J Brabec, T Komárek, V Franc, L Machlica [Cisco Systems & Czech Technical University in Prague & Bulletproof.ai] (2020)网页链接 view:网页链接 GitHub: 网页链接
2020-01-26 06:08:13 发布
《On Model Evaluation under Non-constant Class Imbalance》J Brabec, T Komárek, V Franc, L Machlica [Cisco Systems & Czech Technical University in Prague & Bulletproof.ai] (2020)
网页链接 view:网页链接 GitHub: 网页链接
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2020-01-26 06:08:13 发布
《A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts》A Khandelwal, N Kumar [IIT Delhi & IIIT-Hyderabad] (2020)网页链接 view:网页链接
2020-01-26 06:08:13 发布
《A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts》A Khandelwal, N Kumar [IIT Delhi & IIIT-Hyderabad] (2020)
网页链接 view:网页链接
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2020-01-26 06:08:13 发布
《On the infinite width limit of neural networks with a standard parameterization》J Sohl-Dickstein, R Novak, S S. Schoenholz, J Lee [Google] (2020)网页链接 view:网页链接 GitHub: 网页链接
2020-01-26 06:08:13 发布
《On the infinite width limit of neural networks with a standard parameterization》J Sohl-Dickstein, R Novak, S S. Schoenholz, J Lee [Google] (2020)
网页链接 view:网页链接 GitHub: 网页链接
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2020-01-26 06:08:13 发布
《A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks》J Han, M Nica, A R Stinchcombe [University of Toronto] (2020)网页链接 view:网页链接
2020-01-26 06:08:13 发布
《A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks》J Han, M Nica, A R Stinchcombe [University of Toronto] (2020)
网页链接 view:网页链接
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2020-01-26 06:08:13 发布
《A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications》J Gui, Z Sun, Y Wen, D Tao, J Ye [Chinese Academy of Sciences & Nanyang Techn/Users/chenguang/Library/Containers/Copy-em-Paste/Data/Library/Application Support/Copy-em-Paste/Attachments/1d4dc2fbd1e24ab7/Image on 2020-01-26 05.46.32 AM.jpgological University & the University of Sydney] (2020)网页链接 view:网页链接
2020-01-26 06:08:13 发布
《A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications》J Gui, Z Sun, Y Wen, D Tao, J Ye [Chinese Academy of Sciences & Nanyang Techn/Users/chenguang/Library/Containers/Copy-em-Paste/Data/Library/Application Support/Copy-em-Paste/Attachments/1d4dc2fbd1e24ab7/Image on 2020-01-26 05.46.32 AM.jpgological University & the University of Sydney] (2020)
网页链接 view:网页链接
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2020-01-26 06:08:13 发布
《Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice》A Seshadri, J Ugander [Stanford University] (2020)网页链接 view:网页链接
2020-01-26 06:08:13 发布
《Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice》A Seshadri, J Ugander [Stanford University] (2020)
网页链接 view:网页链接
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2020-01-26 06:08:13 发布
《All-in-One Image-Grounded Conversational Agents》D Ju, K Shuster, Y Boureau, J Weston [Facebook AI Research] (2019)网页链接 view:网页链接
2020-01-26 06:08:13 发布
《All-in-One Image-Grounded Conversational Agents》D Ju, K Shuster, Y Boureau, J Weston [Facebook AI Research] (2019)
网页链接 view:网页链接
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2020-01-26 06:08:19 发布
*《Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board》A Papasavva, S Zannettou, E D Cristofaro, G Stringhini, J Blackburn [UCL & Max Planck Institute & Boston University] (2020)网页链接 view:网页链接
2020-01-26 06:08:19 发布
*《Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board》A Papasavva, S Zannettou, E D Cristofaro, G Stringhini, J Blackburn [UCL & Max Planck Institute & Boston University] (2020)
网页链接 view:网页链接
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2020-01-26 06:08:19 发布
*《Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future》G W. Lindsay [University College London] (2020)网页链接 view:网页链接
2020-01-26 06:08:19 发布
*《Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future》G W. Lindsay [University College London] (2020)
网页链接 view:网页链接
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2020-01-25 20:08:24 发布
【HO-3D：手/目标3D姿态标注数据集】‘HO-3D is a dataset with 3D pose annotations for hand and object’网页链接
2020-01-25 20:08:24 发布
【HO-3D：手/目标3D姿态标注数据集】‘HO-3D is a dataset with 3D pose annotations for hand and object’
网页链接
爱可可-爱生活
2020-01-25 20:08:25 发布
几篇论文实现代码：
《A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning》(ICLR 2020) GitHub:网页链接
《Emergence of Object Segmentation in Perturbed Generative Models
》(NeurIPS 2019) GitHub:网页链接
《Unsupervised Universal Self-Attention Network for Graph Classification》(2019) GitHub:网页链接
《Analyzing Learned Molecular Representations for Property Prediction》(2019) GitHub:网页链接
2020-01-25 20:08:25 发布
几篇论文实现代码：
《A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning》(ICLR 2020) GitHub:
网页链接《Emergence of Object Segmentation in Perturbed Generative Models
》(NeurIPS 2019) GitHub:
网页链接《Unsupervised Universal Self-Attention Network for Graph Classification》(2019) GitHub:
网页链接《Analyzing Learned Molecular Representations for Property Prediction》(2019) GitHub:
网页链接
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2020-01-25 20:08:25 发布
【面向因果推理的文本特征选择与评价库】’Causal selection - Select and score text features for causal inferences' by Reid Pryzant GitHub:网页链接
2020-01-25 20:08:25 发布
【面向因果推理的文本特征选择与评价库】’Causal selection - Select and score text features for causal inferences' by Reid Pryzant GitHub:
网页链接
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2020-01-25 20:08:25 发布
【Python科学几何算法库】'scikit-geometry - Scientific Python Geometric Algorithms Library' GitHub:网页链接
2020-01-25 20:08:25 发布
【Python科学几何算法库】'scikit-geometry - Scientific Python Geometric Algorithms Library' GitHub:
网页链接
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2020-01-25 20:08:25 发布
【C++14实现的分布式哈希表】’OpenDHT - A C++14 Distributed Hash Table implementation' by Savoir-faire Linux GitHub:网页链接
2020-01-25 20:08:25 发布
【C++14实现的分布式哈希表】’OpenDHT - A C++14 Distributed Hash Table implementation' by Savoir-faire Linux GitHub:
网页链接
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2020-01-25 20:08:25 发布
【开放域信息求索澄清问答数据集】’Qulac: A dataset on asking Questions for Lack of Clarity in open-domain information-seeking conversations.' by Mohammad Aliannejadi GitHub:网页链接
2020-01-25 20:08:25 发布
【开放域信息求索澄清问答数据集】’Qulac: A dataset on asking Questions for Lack of Clarity in open-domain information-seeking conversations.' by Mohammad Aliannejadi GitHub:
网页链接
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2020-01-25 20:08:25 发布
【nyaggle：面向Kaggle和离线比赛的实用工具库，侧重于特征工程与验证】'nyaggle - Code for Kaggle and Offline Competitions' by nyanp GitHub:网页链接
2020-01-25 20:08:25 发布
【nyaggle：面向Kaggle和离线比赛的实用工具库，侧重于特征工程与验证】'nyaggle - Code for Kaggle and Offline Competitions' by nyanp GitHub:
网页链接
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2020-01-25 20:08:29 发布
【PandaPy：NumPy一样快速、Pandas一样灵活的Python数据处理库】’pandapy - PandaPy has the speed of NumPy and the usability of Pandas (10x to 50x faster)' by Derek Snow GitHub:网页链接
2020-01-25 20:08:29 发布
【PandaPy：NumPy一样快速、Pandas一样灵活的Python数据处理库】’pandapy - PandaPy has the speed of NumPy and the usability of Pandas (10x to 50x faster)' by Derek Snow GitHub:
网页链接
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2020-01-25 09:10:29 发布
【自我对话：(Colab)基于GPT2-1.5b用Facebook聊天数据训练橡皮鸭聊天机器人】《Talking to Myself or How I Trained GPT2-1.5b for Rubber Ducking using My Facebook Chat Data》by Svilen Todorov 网页链接#chat-samples
2020-01-25 09:10:29 发布
【自我对话：(Colab)基于GPT2-1.5b用Facebook聊天数据训练橡皮鸭聊天机器人】《Talking to Myself or How I Trained GPT2-1.5b for Rubber Ducking using My Facebook Chat Data》by Svilen Todorov
网页链接#chat-samples
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2020-01-25 09:10:29 发布
【定制类别人脸生成API】“Generated Photos | Unique, worry-free model photos”网页链接
2020-01-25 09:10:29 发布
【定制类别人脸生成API】“Generated Photos | Unique, worry-free model photos”
网页链接
爱可可-爱生活
2020-01-25 09:10:29 发布
【Kaggle开放日：打造自己的AI相机】《Kaggle Pixel Pro - Building Your Own AI Camera | Kaggle Days - YouTube》by Pavel Ostyakov网页链接
2020-01-25 09:10:29 发布
【Kaggle开放日：打造自己的AI相机】《Kaggle Pixel Pro - Building Your Own AI Camera | Kaggle Days - YouTube》by Pavel Ostyakov
网页链接
爱可可-爱生活
2020-01-25 09:10:29 发布
【(Colab)用Nucleus和TensorFlow进行DNA序列错误校正】《Using Nucleus and TensorFlow for DNA Sequencing Error Correction》网页链接
2020-01-25 09:10:29 发布
【(Colab)用Nucleus和TensorFlow进行DNA序列错误校正】《Using Nucleus and TensorFlow for DNA Sequencing Error Correction》
网页链接
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2020-01-25 08:10:34 发布
【Kaggle开放日：用有限GPU RAM训练BERT模型】《How to Train BERT Models with limited GPU RAM (Pytorch) | Kaggle Days - YouTube》by Michael Yeh网页链接
2020-01-25 08:10:34 发布
【Kaggle开放日：用有限GPU RAM训练BERT模型】《How to Train BERT Models with limited GPU RAM (Pytorch) | Kaggle Days - YouTube》by Michael Yeh
网页链接
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2020-01-25 08:10:34 发布
【深度可分离卷积性能研究】《Depth-wise Separable Convolutions: Performance Investigations》by Timothy Liu网页链接 GitHub:网页链接
2020-01-25 08:10:34 发布
【深度可分离卷积性能研究】《Depth-wise Separable Convolutions: Performance Investigations》by Timothy Liu
网页链接 GitHub:网页链接
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2020-01-25 08:10:34 发布
《A Multi-Scale Tensor Network Architecture for Classification and Regression》J Reyes, M Stoudenmire [University of Central Florida & Flatiron Institute] (2020)网页链接 view:网页链接
2020-01-25 08:10:34 发布
《A Multi-Scale Tensor Network Architecture for Classification and Regression》J Reyes, M Stoudenmire [University of Central Florida & Flatiron Institute] (2020)
网页链接 view:网页链接
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2020-01-25 08:10:34 发布
《Scaling Laws for Neural Language Models》J Kaplan, S McCandlish, T Henighan, T B. Brown, B Chess, R Child, S Gray, A Radford, J Wu, D Amodei [OpenAI] (2020)网页链接 view:网页链接
2020-01-25 08:10:34 发布
《Scaling Laws for Neural Language Models》J Kaplan, S McCandlish, T Henighan, T B. Brown, B Chess, R Child, S Gray, A Radford, J Wu, D Amodei [OpenAI] (2020)
网页链接 view:网页链接
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2020-01-25 07:10:34 发布
《Scalable Hyperparameter Optimization with Lazy Gaussian Processes》R Ram, S Müller, F Pfreundt, N R. Gauger, J Keuper [Fraunhofer ITWM] (2020)网页链接 view:网页链接 GitHub:网页链接
2020-01-25 07:10:34 发布
《Scalable Hyperparameter Optimization with Lazy Gaussian Processes》R Ram, S Müller, F Pfreundt, N R. Gauger, J Keuper [Fraunhofer ITWM] (2020)
网页链接 view:网页链接 GitHub:网页链接
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2020-01-25 07:10:34 发布
《SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions》R R. Selvaraju, P Tendulkar, D Parikh, E Horvitz, M Ribeiro, B Nushi, E Kamar [Georgia Institute of Technology & Microsoft Research] (2020)网页链接 view:网页链接
2020-01-25 07:10:34 发布
《SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions》R R. Selvaraju, P Tendulkar, D Parikh, E Horvitz, M Ribeiro, B Nushi, E Kamar [Georgia Institute of Technology & Microsoft Research] (2020)
网页链接 view:网页链接
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2020-01-25 07:10:34 发布
《Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures》M E A Seddik, C Louart, M Tamaazousti, R Couillet [CEA List & Centralesupelec] (2020)网页链接 view:网页链接
2020-01-25 07:10:34 发布
《Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures》M E A Seddik, C Louart, M Tamaazousti, R Couillet [CEA List & Centralesupelec] (2020)
网页链接 view:网页链接
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2020-01-25 07:10:37 发布
*《TEASER: Fast and Certifiable Point Cloud Registration》H Yang, J Shi, L Carlone [MIT] (2020)网页链接 view:网页链接 GitHub:网页链接
2020-01-25 07:10:37 发布
*《TEASER: Fast and Certifiable Point Cloud Registration》H Yang, J Shi, L Carlone [MIT] (2020)
网页链接 view:网页链接 GitHub:网页链接
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2020-01-24 17:10:42 发布
【好奇研究者成功发表指南(11点技巧)】《A Curious Researcher’s Guide on Successfully Publishing Scientific Manuscripts》by Xiao Chi Zhang, Alexander H Tran, and Dimitrios Papanagnou网页链接
2020-01-24 17:10:42 发布
【好奇研究者成功发表指南(11点技巧)】《A Curious Researcher’s Guide on Successfully Publishing Scientific Manuscripts》by Xiao Chi Zhang, Alexander H Tran, and Dimitrios Papanagnou
网页链接
爱可可-爱生活
2020-01-24 17:10:42 发布
几篇论文实现代码：
《SynSin: End-to-end View Synthesis from a Single Image(Mesh R-CNN)》(ICCV 2019) GitHub:网页链接
《Deep Recurrent Survival Analysis》(AAAI 2019) GitHub:网页链接
《Sequence Modeling with Unconstrained Generation Order》(NeurIPS 2019) GitHub:网页链接
《Learning Individual Causal Effects from Networked Observational Data》(WSDM 2020) GitHub:网页链接
《Generating Digital Painting Lighting Effects via RGB-space Geometry》(2020) GitHub:网页链接
《Deep Dynamics Models for Learning Dexterous Manipulation》(2019) GitHub:网页链接
《N-ary Relation Extraction using Graph State LSTM》(EMNLP 2018) GitHub:网页链接
2020-01-24 17:10:42 发布
几篇论文实现代码：
《SynSin: End-to-end View Synthesis from a Single Image(Mesh R-CNN)》(ICCV 2019) GitHub:
网页链接《Deep Recurrent Survival Analysis》(AAAI 2019) GitHub:
网页链接《Sequence Modeling with Unconstrained Generation Order》(NeurIPS 2019) GitHub:
网页链接《Learning Individual Causal Effects from Networked Observational Data》(WSDM 2020) GitHub:
网页链接《Generating Digital Painting Lighting Effects via RGB-space Geometry》(2020) GitHub:
网页链接《Deep Dynamics Models for Learning Dexterous Manipulation》(2019) GitHub:
网页链接《N-ary Relation Extraction using Graph State LSTM》(EMNLP 2018) GitHub:
网页链接
爱可可-爱生活
2020-01-24 17:10:42 发布
【DNet：基于JAX的神经网络库】’DNet - Neural Network Library written in Python and built on top of JAX, an open-source high-performance deep learning library.' by Umang Patel GitHub:网页链接
2020-01-24 17:10:42 发布
【DNet：基于JAX的神经网络库】’DNet - Neural Network Library written in Python and built on top of JAX, an open-source high-performance deep learning library.' by Umang Patel GitHub:
网页链接
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2020-01-24 15:10:42 发布
【终端应用高级主题设置】’termenv - Advanced ANSI style & color support for your terminal applications' by Christian Muehlhaeuser GitHub:网页链接
2020-01-24 15:10:42 发布
【终端应用高级主题设置】’termenv - Advanced ANSI style & color support for your terminal applications' by Christian Muehlhaeuser GitHub:
网页链接
爱可可-爱生活
2020-01-24 15:10:42 发布
【ktrain：Keras简化封装库，集成多种主流文本、视觉、图预训练模型】’ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply' by Arun S. Maiya GitHub:网页链接
2020-01-24 15:10:42 发布
【ktrain：Keras简化封装库，集成多种主流文本、视觉、图预训练模型】’ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply' by Arun S. Maiya GitHub:
网页链接
爱可可-爱生活
2020-01-24 15:10:42 发布
【Mici：概率模型近似推理MCMC方法实现包(Python)】’Mici - a Python package providing implementations of Markov chain Monte Carlo (MCMC) methods for approximate inference in probabilistic models' by Matt Graham GitHub:网页链接
2020-01-24 15:10:42 发布
【Mici：概率模型近似推理MCMC方法实现包(Python)】’Mici - a Python package providing implementations of Markov chain Monte Carlo (MCMC) methods for approximate inference in probabilistic models' by Matt Graham GitHub:
网页链接
爱可可-爱生活
2020-01-24 15:10:42 发布
【用三角形、六边形或其他精选拼贴图案镶嵌您喜欢的3D曲面】'tessagon: tessellation / tiling with python - Tessellate your favorite 2D manifolds with triangles, hexagons, and other interesting patterns.' by Chris Want GitHub:网页链接
2020-01-24 15:10:42 发布
【用三角形、六边形或其他精选拼贴图案镶嵌您喜欢的3D曲面】'tessagon: tessellation / tiling with python - Tessellate your favorite 2D manifolds with triangles, hexagons, and other interesting patterns.' by Chris Want GitHub:
网页链接
爱可可-爱生活
2020-01-24 15:10:42 发布
【数据科学基础：面向无编程经验人士的Python数据科学入门教程(Colab Notebooks)】’Elements of Data Science - an introduction to data science in Python for people with no programming experience' by Allen Downey网页链接 GitHub: 网页链接
2020-01-24 15:10:42 发布
【数据科学基础：面向无编程经验人士的Python数据科学入门教程(Colab Notebooks)】’Elements of Data Science - an introduction to data science in Python for people with no programming experience' by Allen Downey
网页链接 GitHub: 网页链接
爱可可-爱生活
2020-01-24 15:10:42 发布
【波士顿动力开发包】’Boston Dynamics | Developer - Integrate Boston Dynamics robots into your applications with the Boston Dynamics Developer Toolkit.' by Boston Dynamics GitHub:网页链接
2020-01-24 15:10:42 发布
【波士顿动力开发包】’Boston Dynamics | Developer - Integrate Boston Dynamics robots into your applications with the Boston Dynamics Developer Toolkit.' by Boston Dynamics GitHub:
网页链接
爱可可-爱生活
2020-01-24 15:10:47 发布
【AdelaiDet：开源多实例级检测应用工具箱】'AdelaiDet - an open source toolbox for multiple instance-level detection applications.' by Adelaide Intelligent Machines (AIM) Group GitHub:网页链接
2020-01-24 15:10:47 发布
【AdelaiDet：开源多实例级检测应用工具箱】'AdelaiDet - an open source toolbox for multiple instance-level detection applications.' by Adelaide Intelligent Machines (AIM) Group GitHub:
网页链接
爱可可-爱生活
2020-01-24 12:10:47 发布
【数据科学如何提出正确的问题？】《How to ask the right question in data science?》by Fahd Alhazmi网页链接
2020-01-24 12:10:47 发布
【数据科学如何提出正确的问题？】《How to ask the right question in data science?》by Fahd Alhazmi
网页链接
爱可可-爱生活
2020-01-24 12:10:47 发布
【果蝇后脑连接体：有史以来最完整的大脑突触级连接图】《The Most Complete Brain Map Ever Is Here: A Fly's 'Connectome' | WIRED》网页链接 more:网页链接 
爱可可-爱生活的微博视频
2020-01-24 12:10:47 发布
【果蝇后脑连接体：有史以来最完整的大脑突触级连接图】《The Most Complete Brain Map Ever Is Here: A Fly's 'Connectome' | WIRED》
网页链接 more:网页链接 爱可可-爱生活的微博视频
爱可可-爱生活
2020-01-24 12:10:47 发布
【Elixir/Phoenix实时目标检测】《Real-time Object Detection with Phoenix and Python》by Alvise Susmel网页链接
2020-01-24 12:10:47 发布
【Elixir/Phoenix实时目标检测】《Real-time Object Detection with Phoenix and Python》by Alvise Susmel
网页链接
爱可可-爱生活
2020-01-24 12:10:47 发布
【笔记本上用Vaex/Scikit-Learn五分钟训练十亿样本】《ML impossible: Train 1 billion samples in 5 minutes on your laptop using Vaex and Scikit-Learn》by Jovan Veljanoski网页链接
2020-01-24 12:10:47 发布
【笔记本上用Vaex/Scikit-Learn五分钟训练十亿样本】《ML impossible: Train 1 billion samples in 5 minutes on your laptop using Vaex and Scikit-Learn》by Jovan Veljanoski
网页链接
爱可可-爱生活
2020-01-24 12:10:52 发布
【SpaceNet 6 比赛：多传感器全天候地貌检测】《Announcing SpaceNet 6: Multi-Sensor All Weather Mapping》by Jake Shermeyer网页链接
2020-01-24 12:10:52 发布
【SpaceNet 6 比赛：多传感器全天候地貌检测】《Announcing SpaceNet 6: Multi-Sensor All Weather Mapping》by Jake Shermeyer
网页链接
爱可可-爱生活
2020-01-24 12:10:52 发布
【在网上发现数百万数据集】《Discovering millions of datasets on the web | Google》by Natasha Noy网页链接
2020-01-24 12:10:52 发布
【在网上发现数百万数据集】《Discovering millions of datasets on the web | Google》by Natasha Noy
网页链接
爱可可-爱生活
2020-01-24 12:10:52 发布
【Kaggle开放日：Kaggle比赛中的常见障碍】《Common Obstacles in Kaggle Competitions | Kaggle Days - YouTube》by Mikhail Trofimov网页链接
2020-01-24 12:10:52 发布
【Kaggle开放日：Kaggle比赛中的常见障碍】《Common Obstacles in Kaggle Competitions | Kaggle Days - YouTube》by Mikhail Trofimov
网页链接
爱可可-爱生活
2020-01-24 12:10:52 发布
《Optimal binning: mathematical programming formulation》G Navas-Palencia (2020)网页链接 view:网页链接 GitHub:网页链接
2020-01-24 12:10:52 发布
《Optimal binning: mathematical programming formulation》G Navas-Palencia (2020)
网页链接 view:网页链接 GitHub:网页链接
爱可可-爱生活
2020-01-24 12:10:52 发布
《Nonparametric Causal Feature Selection for Spatiotemporal Risk Mapping of Malaria Incidence in Madagascar》R Arambepola, P Gething, E Cameron [University of Oxford] (2020)网页链接 view:网页链接
2020-01-24 12:10:52 发布
《Nonparametric Causal Feature Selection for Spatiotemporal Risk Mapping of Malaria Incidence in Madagascar》R Arambepola, P Gething, E Cameron [University of Oxford] (2020)
网页链接 view:网页链接
爱可可-爱生活
2020-01-24 12:10:52 发布
《Deep Depth Prior for Multi-View Stereo》P Ghosh, V Vineet, L S. Davis, A Shrivastava, S Sinha, N Joshi [The University of Maryland & Microsoft] (2020)网页链接 view:网页链接
2020-01-24 12:10:52 发布
《Deep Depth Prior for Multi-View Stereo》P Ghosh, V Vineet, L S. Davis, A Shrivastava, S Sinha, N Joshi [The University of Maryland & Microsoft] (2020)
网页链接 view:网页链接
爱可可-爱生活
2020-01-24 12:10:57 发布
《ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data》D Qi, L Su, J Song, E Cui, T Bharti, A Sachet [Microsoft] (2020)网页链接 view:网页链接
2020-01-24 12:10:57 发布
《ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data》D Qi, L Su, J Song, E Cui, T Bharti, A Sachet [Microsoft] (2020)
网页链接 view:网页链接
爱可可-爱生活
2020-01-24 12:10:57 发布
*《Q-Learning in enormous action spaces via amortized approximate maximization》T V d Wiele, D Warde-Farley, A Mnih, V Mnih [DeepMind] (2020)网页链接 view:网页链接
2020-01-24 12:10:57 发布
*《Q-Learning in enormous action spaces via amortized approximate maximization》T V d Wiele, D Warde-Farley, A Mnih, V Mnih [DeepMind] (2020)
网页链接 view:网页链接
爱可可-爱生活
2020-01-21 19:07:09 发布
Elsevier 2018年利润率高达37% “换句话说，每次我们支付3000美元的文章处理费用，其中只有1800美元用于出版过程，其余1200美元直接进了Elsevier股东的钱包。” src:《From symbiont to parasite: the evolution of for-profit science publishing》网页链接
2020-01-21 19:07:09 发布
Elsevier 2018年利润率高达37% “换句话说，每次我们支付3000美元的文章处理费用，其中只有1800美元用于出版过程，其余1200美元直接进了Elsevier股东的钱包。” src:《From symbiont to parasite: the evolution of for-profit science publishing》
网页链接
爱可可-爱生活
2020-01-21 18:07:13 发布
【数据解读：想要赚大钱，就去名校读数学或经济学】《To make money, study maths or economics at a top university | Graphic detail | The Economist》网页链接
2020-01-21 18:07:13 发布
【数据解读：想要赚大钱，就去名校读数学或经济学】《To make money, study maths or economics at a top university | Graphic detail | The Economist》
网页链接
爱可可-爱生活
2020-01-21 18:07:14 发布
几篇论文实现代码：
《Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation》(ICLR 2020) GitHub:网页链接
《Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation》(ICLR 2020) GitHub:网页链接
《Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network》(2020) GitHub:网页链接
《DSGN: Deep Stereo Geometry Network for 3D Object Detection》(2020) GitHub:网页链接
《Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing》(EMNLP 2019) GitHub:网页链接
《Exploring the Landscape of Spatial Robustness》(ICML 2019) GitHub:网页链接
《Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation》(CIKM 2019) GitHub:网页链接
《Fighting Fake News: Image Splice Detection via Learned Self-Consistency》(ECCV 2018) GitHub:网页链接
《Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking》(ICLR 2018) GitHub:网页链接
2020-01-21 18:07:14 发布
几篇论文实现代码：
《Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation》(ICLR 2020) GitHub:
网页链接《Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation》(ICLR 2020) GitHub:
网页链接《Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network》(2020) GitHub:
网页链接《DSGN: Deep Stereo Geometry Network for 3D Object Detection》(2020) GitHub:
网页链接《Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing》(EMNLP 2019) GitHub:
网页链接《Exploring the Landscape of Spatial Robustness》(ICML 2019) GitHub:
网页链接《Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation》(CIKM 2019) GitHub:
网页链接《Fighting Fake News: Image Splice Detection via Learned Self-Consistency》(ECCV 2018) GitHub:
网页链接《Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking》(ICLR 2018) GitHub:
网页链接
爱可可-爱生活
2020-01-21 17:07:14 发布
【基于Transformer的图像自动描述PyTorch/Fairseq扩展】’Image Captioning Transformer - Transformer-based image captioning extension of pytorch/fairseq' by Martin Krasser GitHub:网页链接
2020-01-21 17:07:14 发布
【基于Transformer的图像自动描述PyTorch/Fairseq扩展】’Image Captioning Transformer - Transformer-based image captioning extension of pytorch/fairseq' by Martin Krasser GitHub:
网页链接
爱可可-爱生活
2020-01-21 17:07:14 发布
【Fastor：(C++)高性能张量计算库】’Fastor - a smart stack-based high performance tensor (multi-dimensional array) library written in modern C++ [C++11/14/17]' by Roman Poya GitHub:网页链接
2020-01-21 17:07:14 发布
【Fastor：(C++)高性能张量计算库】’Fastor - a smart stack-based high performance tensor (multi-dimensional array) library written in modern C++ [C++11/14/17]' by Roman Poya GitHub:
网页链接