melfm

melfm's Stars

• neuropsychology/NeuroKit

  NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

  Language:Python1.6k419

• mims-harvard/TimeX

  Time series explainability via self-supervised model behavior consistency

  Language:Python352

• lcswillems/rl-starter-files

  RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

  Language:Python651184

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python168k44.3k

• LxzGordon/Deep-Reinforcement-Learning-with-pytorch

  Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

  Language:Python8917

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.2k3.1k

• nicklashansen/dmcontrol-generalization-benchmark

  DMControl Generalization Benchmark

  Language:Python16740

• cornellius-gp/gpytorch

  A highly efficient implementation of Gaussian Processes in PyTorch

  Language:Python3.6k560

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python9.1k1.7k

• Farama-Foundation/HighwayEnv

  A minimalist environment for decision-making in autonomous driving

  Language:Python2.6k753

• facebookresearch/drqv2

  DrQ-v2: Improved Data-Augmented Reinforcement Learning

  Language:Python35288

• denisyarats/pytorch_sac

  PyTorch implementation of Soft Actor-Critic (SAC)

  Language:Jupyter Notebook511102

• facebookresearch/mtrl

  Multi Task RL Baselines

  Language:Python22327

• NVlabs/sim-parameter-estimation

  The code accompaniment for the CoRL 2020 paper: A User's Guide to Calibrating Robotics Simulators (https://arxiv.org/abs/2011.08985), from NVIDIA Research Seattle.

  Language:Python293

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python33.7k2.6k

• sfujim/BCQ

  Author's PyTorch implementation of BCQ for continuous and discrete actions

  Language:Python596141

• denisyarats/drq

  DrQ: Data regularized Q

  Language:Jupyter Notebook40552

• facebookresearch/hydra

  Hydra is a framework for elegantly configuring complex applications

  Language:Python8.8k630

• hardmaru/write-rnn-tensorflow

  Generative Handwriting using LSTM Mixture Density Network with TensorFlow

  Language:Python700168

• danijar/dreamer

  Dream to Control: Learning Behaviors by Latent Imagination

  Language:Python513110

• xqding/TD-VAE

  Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)

  Language:Python15427

• Farama-Foundation/Minigrid

  Simple and easily configurable grid world environments for reinforcement learning

  Language:Python2.1k609

• rlworkgroup/garage

  A toolkit for reproducible reinforcement learning research.

  Language:Python1.9k310

• Farama-Foundation/Metaworld

  Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

  Language:Python1.3k273

• stepjam/RLBench

  A large-scale benchmark and learning environment.

  Language:Python1.2k235

• denisyarats/pytorch_sac_ae

  PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

  Language:Python22434

• ericjang/normalizing-flows-tutorial

  Tutorial on normalizing flows.

  Language:Jupyter Notebook29265

• IDSIA/sacred

  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

  Language:Python4.3k382

• rtqichen/ffjord

  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

  Language:Python626138

• taochenshh/hcp

  (NeurIPS 2018) Hardware Conditioned Policies for Multi-Robot Transfer Learning

  Language:Python177