Alternatives and similar repositories for moca

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

• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 6 years ago
• soochan-lee / CN-DPM
  Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
  ☆100Updated 5 years ago
• Gordonjo / versa
  Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"
  ☆69Updated 4 years ago
• nvcuong / variational-continual-learning
  Implementation of the variational continual learning method
  ☆195Updated 6 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
• alexalemi / vib_demo
  ☆91Updated 3 years ago
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago
• capybaralet / REx_code_release
  ☆63Updated 5 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
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated last year
• khurramjaved96 / mrcl
  Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
  ☆204Updated last year
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆67Updated 4 years ago
• huaxiuyao / HSML
  HSML for ICML 2019
  ☆51Updated 6 years ago
• huaxiuyao / ARML
  ARML for ICLR 2020
  ☆42Updated 5 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆27Updated 4 years ago
• chrhenning / hypercl
  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…
  ☆167Updated 3 years ago
• SaynaEbrahimi / UCB
  Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
  ☆76Updated 4 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆91Updated 5 years ago
• jik0730 / MAML-in-pytorch
  Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400
  ☆60Updated 4 years ago
• team-approx-bayes / fromp
  Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
  ☆44Updated 4 years ago
• vuoristo / MMAML-Regression
  ☆22Updated 4 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 5 years ago
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆77Updated 4 years ago
• SeojinBang / VIBI
  Explaining a black-box using Deep Variational Information Bottleneck Approach
  ☆46Updated 2 years ago
• igolan / bgd
  Implementation of Bayesian Gradient Descent
  ☆37Updated 2 years ago
• mhw32 / meta-inference-public
  A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)
  ☆14Updated 5 years ago
• mingzhang-yin / Meta-learning-without-memorization
  A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…
  ☆21Updated 2 years ago
• flennerhag / warpgrad
  Meta-Learning with Warped Gradient Descent
  ☆92Updated 4 years ago
• facebookresearch / InvarianceUnitTests
  Toy datasets to evaluate algorithms for domain generalization and invariance learning.
  ☆42Updated 3 years ago
• TomVeniat / ProgressiveNeuralNetworks.pytorch
  Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework
  ☆51Updated 5 years ago