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经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程/英语学习/学英语
Accumulated knowledge and experience in the field of Data Engineering
An elegant PyTorch deep reinforcement learning library.
中华人民共和国行政区划：省级（省份）、 地级（城市）、 县级（区县）、 乡级（乡镇街道）、 村级（村委会居委会） ，中国省市区镇村二级三级四级五级联动地址数据。
Python library for Reinforcement Learning.
A PyTorch Library for Reinforcement Learning Research
PyTorch implementation of deep reinforcement learning algorithms
Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.
研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT
Plot line(s) with error bounds/confidence intervals/etc. in Matlab
Paper list of multi-agent reinforcement learning (MARL)
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
Computational framework for reinforcement learning in traffic control
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
CLEVR-Robot: a reinforcement learning environment combining vision, language and control.
PyTorch implementation of both discrete and continuous ACER
A curated list of gradient boosting research papers with implementations.
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
A toolkit for developing and comparing reinforcement learning algorithms.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.