qizhangsjtu

gym

A toolkit for developing and comparing reinforcement learning algorithms.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

cvxpy

A Python-embedded modeling language for convex optimization problems.

Tensorflow-Tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

introRL

Intro to Reinforcement Learning (强化学习纲要）

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

Paper-with-Code-of-Wireless-communication-Based-on-DL

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

tensor-house

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

Tensorflow-Tutorial

Some interesting TensorFlow tutorials for beginners.

cluster-data

Borg cluster traces from Google

Deep-RL-Keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

task-offloading-edge-computing

Simulation code for multi-user offloading in edge computing newtorks

DDLO

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

ResourceAllocationV2X

Resource allocation for D2D-enabled vehicular communications, IEEE Transactions on Communications

TSP

stable-baselines-zh

Stable Baselines官方文档中文版

scalable_maddpg

scalable multi agents reinforcement learning

MachineLearning_Lab

Code lab for machine learning. Including Least Square Method,Gradient Descent,Newton's Method,Hierarchy Cluster,KNN,Markov,Adaboost,Random Number Generation(all kinds of distributions),N Sigma outlier detection,outlier detection based on median,FFT outlier detection,DBSCAN,Kmeans,Naive Bayes,perceptron,reinforcement learning.

Online-Flexible-Resource-Allocation

Flexible resource allocation for edge cloud computing with reinforcement learning

ns3-gym-multiagent

ns3-gym for multi-agent

Reinforcement_Learning_in_Action

Mobile-EdgeCompute

Mobile Edge Computing Hierarchical Model which has the mobile as the edge server and the cloud as the central server. The load balancing between the mobile devices acting as the edge servers is implemented.

rllibddpg

MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)