Alternatives and similar repositories for academy:

Users that are interested in academy are comparing it to the libraries listed below

• ray-project / tutorial
  ☆783Updated 2 years ago
• DerwenAI / ray_tutorial
  An introductory tutorial about leveraging Ray core features for distributed patterns.
  ☆77Updated last year
• maxpumperla / learning_ray
  Notebooks for the O'Reilly book "Learning Ray"
  ☆283Updated 10 months ago
• sven1977 / rllib_tutorials
  Ray RLlib tutorial material
  ☆116Updated 2 years ago
• facebookresearch / rlmeta
  RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.
  ☆282Updated 2 years ago
• alex-petrenko / sample-factory
  High throughput synchronous and asynchronous reinforcement learning
  ☆878Updated 2 months ago
• salesforce / warp-drive
  Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
  ☆477Updated 7 months ago
• google-deepmind / reverb
  Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research
  ☆719Updated last week
• facebookresearch / mbrl-lib
  Library for Model Based RL
  ☆986Updated 8 months ago
• kengz / awesome-deep-rl
  A curated list of awesome Deep Reinforcement Learning resources.
  ☆732Updated 7 months ago
• cpnota / autonomous-learning-library
  A PyTorch library for building deep reinforcement learning agents.
  ☆651Updated 11 months ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆147Updated 8 months ago
• loglabs / mltrace
  Coarse-grained lineage and tracing for machine learning pipelines.
  ☆467Updated 2 years ago
• google-research / recsim
  A Configurable Recommender Systems Simulation Platform
  ☆752Updated 3 years ago
• DerwenAI / rllib_tutorials
  RLlib tutorials
  ☆65Updated 3 years ago
• google-deepmind / rlax
  ☆1,293Updated last month
• google-research / seed_rl
  SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…
  ☆801Updated 2 years ago
• google-research / rliable
  [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
  ☆810Updated 7 months ago
• google-research / batch_rl
  Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
  ☆546Updated last year
• fabiopardo / tonic
  Tonic RL library
  ☆406Updated 7 months ago
• SforAiDl / genrl
  A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibilit…
  ☆408Updated 2 years ago
• Stable-Baselines-Team / stable-baselines
  Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
  ☆291Updated last year
• araffin / rl-baselines-zoo
  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
  ☆1,158Updated 2 years ago
• facebookresearch / torchbeast
  A PyTorch Platform for Distributed RL
  ☆746Updated 3 years ago
• ray-project / ray_lightning
  Pytorch Lightning Distributed Accelerators using Ray
  ☆211Updated last year
• facebookresearch / salina
  a Lightweight library for sequential learning agents, including reinforcement learning
  ☆427Updated last year
• lilianweng / deep-reinforcement-learning-gym
  Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
  ☆290Updated last year
• MushroomRL / mushroom-rl
  Python library for Reinforcement Learning.
  ☆861Updated 3 weeks ago
• ray-project / ray-educational-materials
  This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
  ☆378Updated last year
• araffin / rl-tutorial-jnrr19
  Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
  ☆638Updated last year