👩‍🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure

implementation of distributed reinforcement learning with distributed tensorflow

My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.

Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning

Distributed training with Multi-worker & Parameter Server in TensorFlow 2

Distributed Tensorflow Implementation of Asynchronous DDPG

Asynchronous Advantage Actor-Critic (A3C) training over a cluster using distributed TensorFlow

Distributed Deep Learning Framework on Ray, including tensorflow/pytorch/mxnet

asynchoronous learning example working inside localhost

distributed tensorflow (model parallelism) example repository

Template to train TensorFlow models into TensorPort

Sample Implementation of Distributed TensorFlow

Asynchronous methods for deep reinforcement learning based on Distributed TensorFlow

Ladder network implementation for python 3.x with tensorflow.

PipelineAI: End-to-End ML and AI Platform for Real-time Spark and Tensorflow Data Pipelines

Assignment 2 (Distributed Log regression using tensorflow)

Distributed tensorflow port for character rnn