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网易云课堂微专业《深度学习工程师》听课笔记,编程作业和课后练习
Convolutional Neural Networks
Repo for the Deep Reinforcement Learning Nanodegree program
PyTorch implementations of deep reinforcement learning algorithms and environments
A list of recent papers regarding deep reinforcement learning
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Methods and Implements of Deep Clustering
some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
Competitive multi-agent game simulation environment for RL courses.
Implementation of Dreamer v3 in pytorch.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A toolkit for developing and comparing reinforcement learning algorithms.
Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
Lightweight version of MAPPO to help you quickly migrate to your local environment.
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Paper list of multi-agent reinforcement learning (MARL)
MATE: the Multi-Agent Tracking Environment.
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
This is the official implementation of Multi-Agent PPO (MAPPO).
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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 ;)
just for test
Tutorials for building a PySC2 bot
A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.