miguealanmath / MAML-Pytorch
Reproduce MAML in Pytorch with omniglot dataset.
☆102Updated 4 years ago
Alternatives and similar repositories for MAML-Pytorch:
Users that are interested in MAML-Pytorch are comparing it to the libraries listed below
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆626Updated 3 years ago
- Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.☆386Updated 2 years ago
- Very simple pytorch maml implement☆118Updated last year
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆754Updated 2 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆247Updated 2 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆336Updated 4 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆218Updated 4 months ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆423Updated 4 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆179Updated 2 years ago
- Using keras and tf build MAML☆52Updated 2 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆555Updated 6 years ago
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆230Updated 4 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆311Updated 4 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆212Updated 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…☆791Updated last year
- Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020☆587Updated 2 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆556Updated 5 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆199Updated 2 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 3 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆63Updated 3 years ago
- ☆34Updated 3 years ago
- A review for latest few-shot learning works☆125Updated 3 years ago
- ☆152Updated 5 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆181Updated 6 months ago
- ☆113Updated 4 years ago
- MAML and Reptile sine wave regression example in PyTorch☆18Updated 5 years ago
- ☆58Updated 3 years ago
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆63Updated last year
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆86Updated 6 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆531Updated 6 months ago