Alternatives and similar repositories for LearningToLearn:

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

• lmzintgraf / cavia
  Code for "Fast Context Adaptation via Meta-Learning"
  ☆141Updated 3 years ago
• FerranAlet / modular-metalearning
  ☆77Updated 3 years ago
• rraileanu / auto-drac
  Automatic Data-Regularized Actor-Critic (Auto-DrAC)
  ☆102Updated last year
• uvm-neurobotics-lab / ANML
  A Neuromodulated Meta-Learning algorithm
  ☆115Updated 4 years ago
• flennerhag / warpgrad
  Meta-Learning with Warped Gradient Descent
  ☆93Updated 3 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆83Updated 5 years ago
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 5 years ago
• khurramjaved96 / mrcl
  Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
  ☆200Updated 6 months ago
• tkipf / compile
  CompILE: Compositional Imitation Learning and Execution (ICML 2019)
  ☆110Updated 5 years ago
• vuoristo / MMAML
  ☆19Updated 5 years ago
• dido1998 / Recurrent-Independent-Mechanisms
  Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
  ☆99Updated 3 years ago
• igolan / bgd
  Implementation of Bayesian Gradient Descent
  ☆37Updated last year
• cle-ros / RoutingNetworks
  ☆66Updated 4 years ago
• rr-learning / disentanglement_dataset
  ☆75Updated 8 months ago
• fabienbaradel / cophy
  "CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020
  ☆33Updated 4 years ago
• WendyShang / flare
  Reinforcement Learning with Latent Flow
  ☆43Updated 3 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆118Updated 2 years ago
• vuoristo / MMAML-Regression
  ☆20Updated 3 years ago
• akanazawa / vgan
  Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Inf…
  ☆141Updated 2 years ago
• ServiceNow / osaka
  Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…
  ☆104Updated 2 years ago
• eambutu / snail-pytorch
  Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
  ☆147Updated 5 years ago
• sjoerdvansteenkiste / Relational-NEM
  Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.
  ☆73Updated 2 years ago
• pathak22 / modular-assemblies
  [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"
  ☆115Updated 5 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…
  ☆40Updated 4 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆74Updated 4 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆70Updated 4 years ago
• pathak22 / exploration-by-disagreement
  [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement
  ☆123Updated 5 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated last year
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 5 years ago
• zhixuan-lin / SPACE
  Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"
  ☆102Updated last year