helpingstar

helpingstar's Stars

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python71k57608.4k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.2k286422.3k

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.6k4251691.4k

• moskomule/senet.pytorch

  PyTorch implementation of SENet

  Language:Python2.3k160441

• microsoft/onnxruntime-inference-examples

  Examples for using ONNX Runtime for machine learning inferencing.

  Language:C++1.2k38162336

• pfnet/pfrl

  PFRL: a PyTorch-based deep reinforcement learning library

  Language:Python1.2k9175157

• Khrylx/PyTorch-RL

  PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

  Language:Python1.1k2636189

• gorisanson/pikachu-volleyball

  Pikachu Volleyball implemented into JavaScript by reverse engineering the original game

  Language:JavaScript9801010115

• luchris429/purejaxrl

  Really Fast End-to-End Jax RL Implementations

  Language:Python716112260

• PINTO0309/onnx2tf

  Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

  Language:Python7001025774

• RobertTLange/gymnax

  RL Environments in JAX 🌍

  Language:Python644105562

• instadeepai/jumanji

  🕹️ A diverse suite of scalable reinforcement learning environments in JAX

  Language:Python6181210380

• google-deepmind/distrax

  Language:Python535184532

• corl-team/CORL

  High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

  Language:Python47931020

• ikostrikov/pytorch-trpo

  PyTorch implementation of Trust Region Policy Optimization

  Language:Python433122091

• CausalInferenceLab/Causal-Inference-with-Python

  Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.

  Language:Jupyter Notebook42391078

• elodin-sys/elodin

  Physics simulation software for space + aerospace

  Language:Rust4196613

• EdanToledo/Stoix

  🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL

  Language:Python23063124

• instadeepai/flashbax

  ⚡ Flashbax: Accelerated Replay Buffers in JAX

  Language:Python210131111

• microsoft/onnxruntime-web-demo

  demos to show the capabilities of ONNX Runtime Web

  Language:TypeScript173271341

• keraJLi/rejax

  Language:Python1474107

• vwxyzjn/invalid-action-masking

  Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

  Language:Python1392322

• rust-kr/doc.rust-kr.org

  The Rust Programming Language 한국어 번역

  Language:Rust1364545

• tjuHaoXiaotian/pymarl3

  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior performance on SMAC-V2.

  Language:Python12931112

• microsoft/onnxruntime-nextjs-template

  Language:TypeScript1013723

• PufferAI/pokegym

  Gymnasium environment for Pokemon Red

  Language:Python340013

• MyNameIsArko/RL-Flax

  Various reinforcement learning algorithms written in Jax + Flax

  Language:Python22400

• gebob19/rl_with_jax

  clear single-file JAX implementations of common RL algorithms

  Language:Python14101

• gebob19/natural-policy-gradient-reinforcement-learning

  code for Understanding the Effects of Second-Order Approximations in Natural Policy Gradient Reinforcement Learning

  Language:Python4100

• edd26/pytorch-A3C

  Simple A3C implementation with pytorch + multiprocessing

  Language:Python2000