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a2c

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

a3c

Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.

a3c-1

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

ansible_kubeedge

自动化部署kubeedge

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cwlcontainer

decima-sim

Learning Scheduling Algorithms for Data Processing Clusters

distributetensorflowexample

distribute tensorflow example

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn_pytorch

gnnpapers

Must-read papers on graph neural networks (GNN)

input_driven_rl_example

Variance Reduction for Reinforcement Learning in Input-Driven Environments (ICLR '19)

k8s-cluster-simulator

Kubernetes cluster simulator for evaluating schedulers.

kubeedge

Kubernetes Native Edge Computing Framework (project under CNCF)

moby

Moby Project - a collaborative project for the container ecosystem to assemble container-based systems

park

pose

pytorch-a3c

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

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rl-cn

A translation of Reinforcement Learning: An Introduction

tensorflow-eager-tutorials

Simple tutorials for building neural networks with TensorFlow Eager mode.

tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

tensorflow_kaggle_cat_dog

tensorflow_kaggle_cat_dog

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等