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Python3 ROS Interface with the Franka Emika Panda robot arm. Includes support for OpenAI Gym based interfaces.
Some examples for the use of boost::python
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
A toolkit for reproducible reinforcement learning research.
Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Weibo's daily TOP5 hotkey. 自动爬取、筛选新浪微博每日热搜词 TOP5。https://github.com/TauWu/weibo_daily_hotkey/blob/master/data/data.md
An Open Source Machine Learning Framework for Everyone
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Build your neural network easy and fast, 莫烦Python中文教学
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
General purpose unsupervised sentence representations
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …