Alternatives and similar repositories for ANML

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

• dido1998 / Recurrent-Independent-Mechanisms
  Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
  ☆100Updated 3 years ago
• lebrice / Sequoia
  The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
  ☆195Updated 2 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated 2 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆119Updated 3 years ago
• uber-research / GTN
  ☆79Updated 5 years ago
• kjaved0 / mrcl
  Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
  ☆204Updated last year
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆86Updated 5 years ago
• pokaxpoka / netrand
  Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020
  ☆55Updated 5 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• facebookresearch / CTrLBenchmark
  Benchmark for Lifelong learning research
  ☆118Updated 4 years ago
• mattriemer / MER
  Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …
  ☆147Updated 4 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆129Updated last year
• 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
• flennerhag / warpgrad
  Meta-Learning with Warped Gradient Descent
  ☆92Updated 4 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated 2 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated 2 years ago
• facebookresearch / LearningToLearn
  Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.
  ☆103Updated 4 years ago
• bamos / HowToTrainYourMAMLPytorch
  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…
  ☆41Updated 5 years ago
• google-deepmind / dm_hard_eight
  ☆84Updated 4 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• yk / youtube-flatland
  Let's solve the flatland challenge!
  ☆74Updated 2 years ago
• Pervasive-AI-Lab / crlmaze
  Continual Reinforcement Learning in 3D Non-stationary Environments
  ☆39Updated 6 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆129Updated 6 years ago
• uber-research / EvoGrad
  ☆182Updated last year
• nvcuong / variational-continual-learning
  Implementation of the variational continual learning method
  ☆195Updated 6 years ago
• authors-1901-10912 / A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
  ☆127Updated 6 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 5 years ago
• facebookresearch / RTFM
  Experiment code for the ICLR 2020 paper "RTFM: Generalising to New Environment Dynamics via Reading".
  ☆38Updated 4 years ago
• eaplatanios / jelly-bean-world
  A framework for experimenting with never-ending learning
  ☆80Updated last year
• prolearner / hypertorch
  ☆124Updated last year