shirleyzhu233 / PyTorch-MAML
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
☆222Updated 6 months ago
Alternatives and similar repositories for PyTorch-MAML:
Users that are interested in PyTorch-MAML are comparing it to the libraries listed below
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆233Updated 4 years 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…☆802Updated last year
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆247Updated 3 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆78Updated 2 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆216Updated 5 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 5 years ago
- A classified list of meta learning papers based on realm.☆357Updated 2 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆180Updated 2 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆163Updated 2 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆142Updated 3 years ago
- Reproduction of the IMAML paper☆26Updated 4 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆558Updated 6 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆61Updated 5 years ago
- ☆153Updated 5 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆47Updated 4 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆213Updated 6 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆64Updated 3 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆41Updated 8 months ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆630Updated 3 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆184Updated 6 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆41Updated 6 years ago
- Meta-Learning with Warped Gradient Descent☆93Updated 4 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆201Updated 7 months ago
- Reproduce MAML in Pytorch with omniglot dataset.☆102Updated 4 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆422Updated 4 years ago
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆201Updated 3 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆226Updated 4 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆160Updated 4 years ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆193Updated 5 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆306Updated 5 years ago