Alternatives and similar repositories for Meta-learning-without-memorization

Users that are interested in Meta-learning-without-memorization are comparing it to the libraries listed below

• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆61Updated 6 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 4 years ago
• StanfordASL / moca
  ☆32Updated 3 years ago
• haebeom-lee / metadrop
  Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
  ☆27Updated 5 years ago
• soochan-lee / CN-DPM
  Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
  ☆101Updated 5 years ago
• sungyubkim / GBML
  A collection of Gradient-Based Meta-Learning Algorithms with pytorch
  ☆65Updated 6 years ago
• huaxiuyao / ARML
  ARML for ICLR 2020
  ☆42Updated 5 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆78Updated 4 years ago
• xinshi-chen / l2stop
  Learning To Stop While Learning To Predict
  ☆34Updated 3 years ago
• haebeom-lee / l2b
  Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
  ☆101Updated 5 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated last year
• ahujak / IB-IRM
  ☆31Updated 4 years ago
• AMLab-Amsterdam / DataAugmentationInterventions
  ☆26Updated 5 years ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆44Updated 3 years ago
• haebeom-lee / maml
  MAML implementation (tensorflow)
  ☆15Updated 6 years ago
• imirzadeh / stable-continual-learning
  Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
  ☆76Updated 2 years ago
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 5 years ago
• Luvata / CS330-Stanford-Deep-Multi-Task-and-Meta-Learning
  My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
  ☆41Updated 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…
  ☆106Updated 3 years ago
• changliu00 / causal-semantic-generative-model
  Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …
  ☆76Updated 3 years ago
• TLESORT / Generative_Continual_Learning
  ☆54Updated 6 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• SITE5039 / AdaMixUp
  ☆14Updated 6 years ago
• jiamings / ml-cpc
  ☆36Updated 5 years ago
• baiksung / ALFA
  Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
  ☆87Updated 3 years ago
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆41Updated 5 years ago
• SeojinBang / VIBI
  Explaining a black-box using Deep Variational Information Bottleneck Approach
  ☆46Updated 3 years ago
• jik0730 / MAML-in-pytorch
  Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400
  ☆60Updated 4 years ago
• kkelchte / task_free_continual_learning
  This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.
  ☆13Updated 6 years ago
• Johswald / learning_where_to_learn
  ☆39Updated last year