👩‍🔬 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

Reduce the training time of CNNs by leveraging the power of multiple GPUs in 2 approaches, Multi-workers & Parameter Sever Training using 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

Asynchronous methods for deep reinforcement learning based on Distributed TensorFlow

Sample Implementation of Distributed TensorFlow

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

Ladder network implementation for python 3.x with tensorflow.

Assignment 2 (Distributed Log regression using tensorflow)

Distributed tensorflow port for character rnn