sicara / easy-few-shot-learningLinks
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
☆1,201Updated 6 months ago
Alternatives and similar repositories for easy-few-shot-learning
Users that are interested in easy-few-shot-learning are comparing it to the libraries listed below
Sorting:
- LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.☆1,021Updated 4 months ago
- A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.☆83Updated last year
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,170Updated 4 years ago
- Repository for few-shot learning machine learning projects☆1,249Updated 5 years ago
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,146Updated 3 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,023Updated 3 years ago
- ☆195Updated 6 months ago
- A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"☆558Updated 4 years ago
- Avalanche: an End-to-End Library for Continual Learning based on PyTorch.☆1,896Updated 2 months ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.☆788Updated last year
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,402Updated last year
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆640Updated 3 years ago
- FSL-Mate: A collection of resources for few-shot learning (FSL).☆1,746Updated 11 months ago
- PyCIL: A Python Toolbox for Class-Incremental Learning☆934Updated last month
- 论文复现:Prototypical Networks for Few-shot Learning☆40Updated 3 years ago
- An implementation of "Prototypical Networks for Few-shot Learning" on a notebook in Pytorch☆57Updated 4 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,034Updated last year
- A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.☆1,326Updated last year
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆550Updated 2 years ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,822Updated 10 months ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆762Updated 2 years ago
- A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'☆830Updated 2 years ago
- Benchmarking Generalized Out-of-Distribution Detection☆962Updated 2 weeks ago
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,487Updated last month
- Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.☆387Updated 2 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆425Updated 4 years ago
- Implementations of few-shot object detection benchmarks☆1,152Updated last year
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,194Updated 2 years ago
- OpenMMLab FewShot Learning Toolbox and Benchmark☆728Updated last year
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆247Updated 3 years ago