juliusfrost

juliusfrost's Stars

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.2k47619k5.8k

• Unity-Technologies/ml-agents

  The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

  Language:C#17.3k5552.9k4.2k

• alievk/avatarify-python

  Avatars for Zoom, Skype and other video-conferencing apps.

  Language:Python16.3k3236334.1k

• google-deepmind/open_spiel

  OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

  Language:C++4.3k107559937

• google-deepmind/dm_control

  Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

  Language:Python3.8k128416671

• google-deepmind/acme

  A library of reinforcement learning components and agents

  Language:Python3.5k84266426

• paperswithcode/releasing-research-code

  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

  2.6k556717

• rail-berkeley/rlkit

  Collection of reinforcement learning algorithms

  Language:Python2.5k61131553

• astooke/rlpyt

  Reinforcement Learning in PyTorch

  Language:Python2.2k52169324

• IgorSusmelj/pytorch-styleguide

  An unofficial styleguide and best practices summary for PyTorch

  Language:Python1.9k458172

• rlworkgroup/garage

  A toolkit for reproducible reinforcement learning research.

  Language:Python1.9k561k311

• google-deepmind/bsuite

  bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

  Language:Python1.5k6031182

• Farama-Foundation/D4RL

  A collection of reference environments for offline reinforcement learning

  Language:Python1.4k20173285

• jrfiedler/causal_inference_python_code

  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

  Language:Jupyter Notebook1.3k522387

• facebookresearch/torchbeast

  A PyTorch Platform for Distributed RL

  Language:Python7391637114

• minerllabs/minerl

  MineRL Competition for Sample Efficient Reinforcement Learning - Python Package

  Language:Java70919485153

• joeynmt/joeynmt

  Minimalist NMT for educational purposes

  Language:Python6791696212

• szymonmaszke/torchlayers

  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks

  Language:Python569121546

• denisyarats/pytorch_sac

  PyTorch implementation of Soft Actor-Critic (SAC)

  Language:Jupyter Notebook51667103

• denisyarats/drq

  DrQ: Data regularized Q

  Language:Jupyter Notebook407132652

• aravindr93/mjrl

  Reinforcement learning algorithms for MuJoCo tasks

  Language:Python3651625103

• microsoft/AirSim-NeurIPS2019-Drone-Racing

  Drone Racing @ NeurIPS 2019, built on Microsoft AirSim

  Language:Python3612612092

• juliusfrost/dreamer-pytorch

  Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.

  Language:Python28681338

• Oulu-IMEDS/solt

  Streaming over lightweight data transformations

  Language:Jupyter Notebook26465519

• berkeleydeeprlcourse/homework_fall2019

  Language:Python187171181

• google-research/dads

  Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

  Language:Python18671151

• minerllabs/competition_submission_template

  The submission template for the MineRL Competition @ NeurIPS 2021. Clone this to make a new submission!

  Language:Python92162321

• catalyst-team/catalyst-rl

  Language:Python46557

• OpenUBIProject/OpenUBI

  Open UBI Project was created to document best practices / road map for implementing UBI within a country.

  Language:HTML11630

• bumic/CS200-Fall-2019

  Github Repo for CS200 Fall 2019

  Language:Jupyter Notebook2400