Alternatives and similar repositories for FractalAI

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

• sebastianrisi / ga-world-models
  ☆20Updated 5 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• dyth / causal-entropic-forces
  An attempt to reimplement the 2013 paper by Wissner-Gross & Freer
  ☆10Updated 5 months ago
• csxeba / trickster
  Reinforcement learning in TensorFlow 2
  ☆22Updated 3 years ago
• Guillemdb / FractalAI
  Celular automaton-based calculus for the masses
  ☆112Updated 5 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 4 years ago
• opium-sh / prl
  Open-source library for a reinforcement learning research.
  ☆54Updated 2 years ago
• sash-a / es_pytorch
  High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
  ☆27Updated 3 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 5 years ago
• Gananath / NERD
  Evolution of Discrete data with Reinforcement Learning
  ☆13Updated 5 years ago
• learningtopredict / learningtopredict.github.io
  ☆28Updated 3 years ago
• srush / jax-lda
  ☆30Updated 3 years ago
• floringogianu / paper-notebooks
  A collection of notebooks aiding the understanding of machine-learning papers.
  ☆10Updated 4 years ago
• alok / rl_implementations
  ☆43Updated 5 years ago
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 5 years ago
• ondrejbiza / bandits
  Comparison of bandit algorithms from the Reinforcement Learning bible.
  ☆17Updated 6 years ago
• cair / PyTsetlinMachineCUDA
  Massively Parallel and Asynchronous Architecture for Logic-based AI
  ☆42Updated 2 years ago
• ofnote / tsanley
  A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
  ☆40Updated 5 years ago
• viking-sudo-rm / stacknn-core
  Pip-installable differentiable stacks in PyTorch!
  ☆65Updated 4 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated last year
• louiskirsch / vsml-neurips2021
  Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905
  ☆32Updated 3 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆77Updated 5 years ago
• evhub / bbopt
  Black box hyperparameter optimization made easy.
  ☆75Updated last year
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 4 years ago
• google-deepmind / dynamic-kanerva-machines
  This is a self-contained memory module for the Dynamic Kanerva Machine, as reported in the NIPS 2018 paper: Learning Attractor Dynamics f…
  ☆43Updated 6 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆189Updated 2 years ago
• yobibyte / pgn
  Graph Nets in pytorch
  ☆27Updated 2 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• apaszke / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆10Updated 5 years ago