Alternatives and similar repositories for imaml_dev

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

• sungyubkim / GBML
  A collection of Gradient-Based Meta-Learning Algorithms with pytorch
  ☆64Updated 5 years ago
• prolearner / hypertorch
  ☆124Updated last year
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 6 years ago
• dido1998 / Recurrent-Independent-Mechanisms
  Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
  ☆100Updated 3 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…
  ☆41Updated 4 years ago
• flennerhag / warpgrad
  Meta-Learning with Warped Gradient Descent
  ☆92Updated 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…
  ☆166Updated 3 years ago
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago
• StanfordASL / moca
  ☆32Updated 2 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
• ShangtongZhang / rebib
  Retrieve information from DBLP and update BibTex files automatically
  ☆54Updated 3 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆118Updated 3 years ago
• alexalemi / vib_demo
  ☆91Updated 3 years ago
• activatedgeek / svgd
  PyTorch implementation of Stein Variational Gradient Descent
  ☆45Updated 2 years ago
• AliLotfi92 / Deep_Variational_Information_Bottleneck
  Tensorflow implementation of deep variational information bottleneck
  ☆24Updated 3 years ago
• vsimkus / torch-reparametrised-mixture-distribution
  PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.
  ☆19Updated last year
• mhw32 / meta-inference-public
  A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)
  ☆14Updated 5 years ago
• vuoristo / MMAML-rl
  ☆15Updated 5 years ago
• tristandeleu / jax-meta-learning
  A collection of meta-learning algorithms in Jax
  ☆23Updated 3 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆131Updated 2 years ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆29Updated last year
• arobey1 / LipSDP
  LipSDP - Lipschitz Estimation for Neural Networks
  ☆71Updated 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
• jsikyoon / bmaml_rl
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆20Updated 2 years ago
• singhgautam / snp
  This is the official source code for Sequential Neural Processes.
  ☆40Updated 2 years ago
• team-approx-bayes / kpriors
  Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.
  ☆16Updated 3 years ago
• karlstratos / doe
  Difference-of-Entropies (DoE) Estimator
  ☆25Updated 3 years ago
• gnobitab / MultiObjectiveSampling
  ☆17Updated 3 years ago