Alternatives and similar repositories for reading-notes-ml:

Users that are interested in reading-notes-ml are comparing it to the libraries listed below

• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 4 years ago
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆79Updated 2 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated last year
• ethanluoyc / magi
  Reinforcement learning library in JAX.
  ☆100Updated last year
• RobertTLange / flexible-learning-group
  A curated list of papers presented in the 📖"Flexible Learning Reading Group" @ TU Berlin. Join us! 🤗
  ☆27Updated 4 years ago
• facebookresearch / adversarially-motivated-intrinsic-goals
  This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
  ☆61Updated last year
• Feryal / automated-curriculum-rl
  ☆31Updated 6 years ago
• google-deepmind / zipfian_environments
  ☆28Updated 2 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆50Updated 6 years ago
• juliuskunze / cwvae-jax
  Clockwork VAEs in JAX/Flax
  ☆32Updated 3 years ago
• zafarali / emdp
  Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
  ☆49Updated 3 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆83Updated 3 years ago
• entity-neural-network / incubator
  Collection of in-progress libraries for entity neural networks.
  ☆29Updated 2 years ago
• SuReLI / dyna-gym
  This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.
  ☆31Updated 5 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆66Updated 6 years ago
• mcleonard / xaby
  Functional machine learning for fun
  ☆84Updated 3 years ago
• rddy / ReQueST
  Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"
  ☆83Updated 5 years ago
• rldotai / rl-algorithms
  Reinforcement learning algorithms
  ☆40Updated 6 years ago
• MishaLaskin / torchingup
  TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…
  ☆47Updated 2 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆189Updated 2 years ago
• HumanCompatibleAI / evaluating-rewards
  Library to compare and evaluate reward functions
  ☆65Updated last year
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆56Updated 2 years ago
• minqi / wordcraft
  An environment for benchmarking commonsense agents
  ☆28Updated 4 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 2 years ago
• eaplatanios / jelly-bean-world
  A framework for experimenting with never-ending learning
  ☆74Updated 6 months ago
• n2cholas / shapecheck
  Framework-agnostic library for checking array/tensor shapes at runtime.
  ☆46Updated 3 years ago
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆89Updated 5 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆55Updated 2 years ago
• iosband / TabulaRL
  ☆65Updated last year