Alternatives and similar repositories for ray_course

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

• DerwenAI / ray_tutorial
  An introductory tutorial about leveraging Ray core features for distributed patterns.
  ☆78Updated 2 years ago
• maxpumperla / learning_ray
  Notebooks for the O'Reilly book "Learning Ray"
  ☆322Updated last year
• anyscale / academy
  Ray tutorials from Anyscale
  ☆615Updated last year
• opium-sh / prl
  Open-source library for a reinforcement learning research.
  ☆54Updated 2 years ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆149Updated last year
• ray-project / tutorial
  ☆788Updated 3 years ago
• cap-ntu / ML-Model-CI
  MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging…
  ☆194Updated 2 years ago
• jgvictores / awesome-deep-reinforcement-learning
  Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
  ☆200Updated last week
• LGE-ARC-AdvancedAI / auptimizer
  An automatic ML model optimization tool.
  ☆200Updated 2 years ago
• 0xangelo / raylab
  Reinforcement learning algorithms in RLlib
  ☆59Updated last year
• VowpalWabbit / reinforcement_learning
  Interaction-side integration library for Reinforcement Learning loops: Predict, Log, [Learn,] Update
  ☆75Updated 10 months ago
• d2l-ai / notebooks
  ☆69Updated 6 years ago
• ucla-labx / distbelief
  Implementing Google's DistBelief paper
  ☆113Updated 2 years ago
• SahanaRamnath / MultiArmedBandit_RL
  Implementation of various multi-armed bandits algorithms on a 10-arm testbed.
  ☆38Updated 5 years ago
• horovod / tutorials
  Tutorials for Horovod
  ☆85Updated 3 years ago
• ChanChiChoi / awesome-automl
  collecting related resources of automated machine learning here
  ☆55Updated 3 years ago
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆49Updated 2 years ago
• DerwenAI / rllib_tutorials
  RLlib tutorials
  ☆66Updated 3 years ago
• paperswithcode / torchbench
  Easily benchmark machine learning models in PyTorch
  ☆148Updated last year
• deep-reinforcement-learning-book / awesome-reinforcement-learning
  A curated list of deep RL resources
  ☆26Updated 5 years ago
• mcanini / SysML-reading-list
  Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersectio…
  ☆278Updated 2 months ago
• Fematich / tftransform-demo
  tf.Transform example for building digital twin with Apache Beam and Tensorflow
  ☆49Updated 7 years ago
• inoryy / tensorflow2-deep-reinforcement-learning
  Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"
  ☆207Updated 4 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• sshkhr / Practical_RL
  My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
  ☆54Updated 3 years ago
• ray-project / enhancements
  Tracking Ray Enhancement Proposals
  ☆54Updated 5 months ago
• tommytracey / DeepRL-P3-Collaboration-Competition
  Project 3 of Udacity's Deep Reinforcement Learning nanodegree program.
  ☆46Updated 6 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆84Updated 3 years ago
• lsds / KungFu
  Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.
  ☆297Updated last year
• LiuShuai26 / Distributed-RL
  Distributed DRL by Ray and TensorFlow Tutorial.
  ☆10Updated 5 years ago