Alternatives and similar repositories for reading-notes-ml

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

• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆80Updated 3 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆61Updated 5 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆80Updated 2 years ago
• rldotai / rl-algorithms
  Reinforcement learning algorithms
  ☆41Updated 6 years ago
• microsoft / coax
  This project was moved to: https://github.com/coax-dev/coax
  ☆161Updated 3 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 7 years ago
• ejmejm / RL-template
  Template for fast, efficient, and simple Reinforcement Learning
  ☆37Updated 4 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆78Updated 5 years ago
• flowersteam / rl-difference-testing
  Simple tools for statistical analyses in RL experiments
  ☆67Updated 7 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 3 years ago
• mcleonard / xaby
  Functional machine learning for fun
  ☆85Updated 4 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated 2 years ago
• zuoxingdong / ML-LaTeX-Shortcuts
  A collection of LaTeX shortcuts for commonly used mathematical expressions in machine learning.
  ☆58Updated 6 years ago
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆91Updated 6 years ago
• Cohere-Labs-Community / rl
  Generic reinforcement learning codebase in TensorFlow
  ☆95Updated 4 years ago
• RobertTLange / flexible-learning-group
  A curated list of papers presented in the 📖"Flexible Learning Reading Group" @ TU Berlin. Join us! 🤗
  ☆27Updated 5 years ago
• ethanluoyc / magi
  Reinforcement learning library in JAX.
  ☆100Updated 2 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆103Updated 6 years ago
• andrewk1 / pytorch-deep-bayesian-bandits
  PyTorch port and extension of the Deep Bayesian Bandits Library
  ☆43Updated 6 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".
  ☆64Updated 2 years ago
• google / deluca
  Performant, differentiable reinforcement learning
  ☆125Updated 5 months ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 4 years ago
• lerrytang / train-procgen-pfrl
  PyTorch code to train and evaluate Procgen tasks
  ☆25Updated 5 years ago
• PartnershipOnAI / safelife
  SafeLife: safety benchmarks for reinforcement learning agents
  ☆61Updated 4 years ago
• hardmaru / rlzoo
  fork of rl-baseline-zoo
  ☆21Updated 5 years ago
• alexis-jacq / LOLA_DiCE
  Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
  ☆96Updated 7 years ago
• Feryal / rl_mlss_2020
  ☆53Updated 5 years ago
• KMarino / hrl-ep3
  Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
  ☆15Updated 6 years ago
• microsoft / statopt
  Statistical adaptive stochastic optimization methods
  ☆32Updated 5 years ago
• VowpalWabbit / reinforcement_learning
  Interaction-side integration library for Reinforcement Learning loops: Predict, Log, [Learn,] Update
  ☆75Updated last year