【2021年新鲜出炉】K8s（Kubernetes）的工程师资料合辑，书籍推荐，面试题，精选文章，开源项目，PPT，视频，大厂资料

字节跳动2022年青训营笔记

The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".

An extension of the PyMARL codebase that includes additional algorithms and environment support

DGN on Pymarl

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

🐟🐟🐟 机器学习面试复习资源

深度学习与推荐系统学习，理论结合代码更香。

Open Machine Learning Course

Python implementation of DDQN multi-UAV data harvesting

VIP cheatsheets for Stanford's CS 229 Machine Learning

机器学习算法的公式推导以及numpy实现

A Collection of Multi-Agent Reinforcement Learning (MARL) Resources

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

A course in reinforcement learning in the wild

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Intro to Reinforcement Learning (强化学习纲要）

Paper list of multi-agent reinforcement learning (MARL)

Paper list of multi-agent reinforcement learning (MARL)

This is the repository for how to research.

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

AI education materials for Chinese students, teachers and IT professionals.

Implementation of benchmark RL algorithms

Deep Reinforcement Learning

Repository with tutorials and applications of Private-AI algorithms with PySyft

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

A resource for learning about Machine learning & Deep Learning

数学建模准备工作，包括一些算法的手写与调用