tianjunz

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

awesome-deep-rl

For deep RL and the future of AI.

azure-cli-cheatsheet

Azure CLI Cheatsheet

BERT-pytorch

Google AI 2018 BERT pytorch implementation

c-planning

cs162-group

HIR

MADE

NovelD

TEMPERA

tianjunz/HIR

tianjunz/TEMPERA

tianjunz/NovelD

tianjunz/MADE

tianjunz/agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

tianjunz/awesome-deep-rl

For deep RL and the future of AI.

tianjunz/azure-cli-cheatsheet

Azure CLI Cheatsheet

tianjunz/c-planning

tianjunz/DeepSpeedExamples

Example models using DeepSpeed

tianjunz/dreamerv2

Mastering Atari with Discrete World Models

tianjunz/GNNPapers

Must-read papers on graph neural networks (GNN)

tianjunz/guidance

A guidance language for controlling large language models.

tianjunz/gym

A toolkit for developing and comparing reinforcement learning algorithms.

tianjunz/Learn_Prompting

tianjunz/marLo

Multi Agent Reinforcement Learning using MalmÖ

tianjunz/metaseq

Repo for external large-scale work

tianjunz/ml-agents

Unity Machine Learning Agents Toolkit

tianjunz/my-offlinerl

tianjunz/ort

Accelerate PyTorch models with ONNX Runtime

tianjunz/overcooked_ai

A benchmark environment for fully cooperative multi-agent performance.

tianjunz/poet

ML model training for edge devices

tianjunz/pymarl

Python Multi-Agent Reinforcement Learning framework

tianjunz/python

Official Python client library for kubernetes

tianjunz/pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

tianjunz/PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

tianjunz/raft

tianjunz/random_name

tianjunz/softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

tianjunz/tianjunz.github.io

tianjunz/unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities