sshkhr / imaml
Reproduction of the IMAML paper
☆26Updated 4 years ago
Alternatives and similar repositories for imaml:
Users that are interested in imaml are comparing it to the libraries listed below
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆230Updated 7 months ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆82Updated 2 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆62Updated 5 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 6 years ago
- Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)☆57Updated 5 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆234Updated 4 years ago
- Meta-Learning with Warped Gradient Descent☆93Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated last month
- ☆38Updated 5 months ago
- ☆122Updated 10 months ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆41Updated 9 months ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated last year
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆164Updated 3 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆246Updated 3 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 3 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 11 months ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆40Updated 4 years ago
- Code for "Supermasks in Superposition"☆123Updated last year
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆31Updated 2 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆76Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆41Updated 6 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆122Updated last year
- A PyTorch implementation of OpenAI's REPTILE algorithm☆218Updated 5 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆180Updated 2 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆75Updated 2 years ago
- Memory efficient MAML using gradient checkpointing☆84Updated 5 years ago
- Distributionally robust neural networks for group shifts☆262Updated 2 years ago