miguealanmath / MAML-PytorchLinks
Reproduce MAML in Pytorch with omniglot dataset.
☆105Updated 5 years ago
Alternatives and similar repositories for MAML-Pytorch
Users that are interested in MAML-Pytorch are comparing it to the libraries listed below
Sorting:
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆644Updated 3 years ago
- Very simple pytorch maml implement☆127Updated last year
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆761Updated 3 weeks ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆341Updated 5 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆247Updated 3 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆239Updated 9 months ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- Using keras and tf build MAML☆52Updated 2 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆318Updated 5 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…☆809Updated last year
- ☆154Updated 5 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Updated 6 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆212Updated 4 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆427Updated 4 years ago
- Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks☆208Updated 3 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆562Updated 6 years ago
- Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.☆386Updated 2 years ago
- ☆58Updated 3 years ago
- A review for latest few-shot learning works☆127Updated 3 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆179Updated 11 months ago
- Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020☆589Updated 2 years ago
- Official repository for Few-Shot Class-Incremental Learning (FSCIL)☆239Updated 4 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆473Updated 3 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 3 years ago
- Implementation of Learning without Forgetting paper☆133Updated 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☆220Updated 5 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆539Updated 11 months ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆289Updated 3 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆235Updated 4 years ago