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
- Very simple pytorch maml implement☆121Updated last year
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆630Updated 3 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆761Updated 2 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆314Updated 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
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆339Updated 4 years ago
- Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.☆386Updated 2 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆247Updated 3 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆422Updated 4 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆180Updated 2 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆222Updated 6 months ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆473Updated 3 years ago
- A review for latest few-shot learning works☆126Updated 3 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆181Updated 7 months ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆558Updated 6 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆202Updated 2 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆558Updated 5 years ago
- Using keras and tf build MAML☆52Updated 2 years ago
- pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version☆42Updated 6 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 3 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆212Updated 4 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆64Updated 3 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆216Updated 5 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆86Updated 6 years ago
- An implementation of Deep Adaptation Network with pytorch☆111Updated 6 years ago
- Unsupervised Meta Learning for Image Classification (UMTRA) algorithm☆20Updated 2 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆226Updated 4 years ago
- Open Set Recognition☆156Updated 3 years ago
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆231Updated 4 years ago
- ☆153Updated 5 years ago