Alternatives and similar repositories for online-meta-learning:

Users that are interested in online-meta-learning are comparing it to the libraries listed below

• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆119Updated 5 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆65Updated 4 years ago
• yoonholee / MT-net
  Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
  ☆39Updated 6 years ago
• sagelywizard / snail
  A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper
  ☆98Updated 6 years ago
• tkkiran / Robust-Conditional-GAN
  Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018
  ☆40Updated 6 years ago
• AntreasAntoniou / Learning_to_Learn_via_Self-Critique
  The original code for the paper "Learning to Learn via Self-Critique".
  ☆46Updated 5 years ago
• alessiabertugli / FUSION
  PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
  ☆20Updated 4 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 5 years ago
• TLESORT / Generative_Continual_Learning
  ☆53Updated 5 years ago
• jik0730 / MAML-in-pytorch
  Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400
  ☆59Updated 3 years ago
• Gordonjo / versa
  Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"
  ☆69Updated 3 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
• 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
• btjhjeon / IMM_tensorflow
  Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)
  ☆34Updated 7 years ago
• xialeiliu / RotateNetworks
  The rep for the RotateNetworks in ICPR18, Beijing, China.
  ☆33Updated 6 years ago
• StanfordASL / moca
  ☆31Updated 2 years ago
• igolan / bgd
  Implementation of Bayesian Gradient Descent
  ☆37Updated last year
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 5 years ago
• rahafaljundi / Encoder-Based-Lifelong-learning
  ☆16Updated 6 years ago
• giparisi / GDM
  Growing Dual-Memory Self-Organizing Networks
  ☆25Updated 6 years ago
• henrikmarklund / arm
  ☆82Updated last year
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆36Updated 3 years ago
• spiglerg / TF_ContinualLearningViaSynapticIntelligence
  Tensorflow implementation of the `intelligent synapse' model from [Zenke et al., (2017)] and application to the Permuted MNIST benchmark.
  ☆22Updated 7 years ago
• neale / HyperGAN
  Generative Model for Neural Networks
  ☆24Updated 4 years ago
• sungyubkim / GBML
  A collection of Gradient-Based Meta-Learning Algorithms with pytorch
  ☆63Updated 5 years ago
• vuoristo / MMAML-Regression
  ☆20Updated 3 years ago
• haebeom-lee / maml
  MAML implementation (tensorflow)
  ☆14Updated 5 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 7 years ago
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 5 years ago
• ron-amit / meta-learning-adjusting-priors
  Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018
  ☆22Updated 5 years ago