Alternatives and similar repositories for snail

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

• eambutu / snail-pytorch
  Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
  ☆148Updated 6 years ago
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆122Updated 6 years ago
• Gordonjo / versa
  Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"
  ☆69Updated 4 years ago
• gabrielhuang / reptile-pytorch
  A PyTorch implementation of OpenAI's REPTILE algorithm
  ☆220Updated 5 years ago
• bertinetto / r2d2
  [ICLR'19] Meta-learning with differentiable closed-form solvers
  ☆116Updated 5 years ago
• shaohua0116 / MMAML-Classification
  An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…
  ☆139Updated 5 years ago
• lmzintgraf / cavia
  Code for "Fast Context Adaptation via Meta-Learning"
  ☆144Updated 4 years ago
• foolyc / Meta-SGD
  Meta-SGD experiment on Omniglot classification compared with MAML
  ☆82Updated 7 years ago
• google-deepmind / leo
  Implementation of Meta-Learning with Latent Embedding Optimization
  ☆310Updated 6 years ago
• markdtw / meta-learning-lstm-pytorch
  pytorch implementation of Optimization as a Model for Few-shot Learning
  ☆182Updated 2 years ago
• seujung / SNAIL-gluon
  Implementation of SNAIL(A Simple Neural Attentive Meta-Learner) with Gluon
  ☆12Updated 6 years ago
• jik0730 / MAML-in-pytorch
  Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400
  ☆60Updated 4 years ago
• ywatanabex / ntm-meta-learning
  A chainer implementation of Memory Augmented Neural Network
  ☆48Updated 9 years ago
• FerranAlet / modular-metalearning
  ☆78Updated 4 years ago
• xqding / TD-VAE
  Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
  ☆163Updated 2 years ago
• floodsung / meta-critic-networks
  Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning
  ☆57Updated 7 years ago
• AdrienLE / ANIML
  Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
  ☆192Updated 6 years ago
• csyanbin / Few-shot-Meta-learning-papers
  Recent few-shot meta-learning papers
  ☆86Updated 7 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆67Updated 4 years ago
• sjoerdvansteenkiste / Relational-NEM
  Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.
  ☆73Updated 2 years ago
• yoonholee / MT-net
  Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
  ☆38Updated 6 years ago
• dragen1860 / Reptile-Pytorch
  ☆155Updated 5 years ago
• nvcuong / variational-continual-learning
  Implementation of the variational continual learning method
  ☆193Updated 6 years ago
• akanimax / Variational_Discriminator_Bottleneck
  Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVER…
  ☆152Updated 6 years ago
• sjoerdvansteenkiste / Neural-EM
  Code for the "Neural Expectation Maximization" paper.
  ☆126Updated 2 years ago
• thanard / causal-infogan
  ☆86Updated 6 years ago
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆63Updated 5 years ago
• spiglerg / pyMeta
  Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…
  ☆48Updated 3 years ago
• markdtw / matching-networks
  Matching Networks for one-shot learning in tensorflow (NIPS'16)
  ☆57Updated 6 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 6 years ago