Shandilya21 / Few-ShotLinks
A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
☆87Updated 2 years ago
Alternatives and similar repositories for Few-Shot
Users that are interested in Few-Shot are comparing it to the libraries listed below
Sorting:
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆120Updated 2 years ago
- This repository is the official implementation Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with S…☆117Updated last year
- Implementation of Open-Set Likelihood Maximization for Few-Shot Learning☆41Updated 2 years ago
- Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'☆39Updated 3 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆44Updated last year
- LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.☆113Updated 2 years ago
- ☆27Updated 4 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆123Updated 2 years ago
- Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"☆32Updated 4 years ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆58Updated 3 years ago
- Implementation of Visual Transformer for Small-size Datasets☆128Updated 3 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆221Updated 2 years ago
- [CVPR 2022] Official code for the paper: "A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibra…☆34Updated 3 years ago
- Independent implementation of Supervised Contrastive Loss. Straight to the point and beyond☆85Updated 4 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆254Updated 3 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆65Updated 3 years ago
- Example of one shot learning and few shot learning with omniglot dataset.☆27Updated 4 years ago
- ☆56Updated 5 years ago
- Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification☆40Updated 2 years ago
- [ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification☆121Updated 3 years ago
- Code release for "Semi-supervised learning made simple with self-supervised clustering"☆60Updated 2 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆104Updated last month
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆231Updated 5 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆102Updated 2 years ago
- ☆116Updated 4 years ago
- ☆69Updated 5 years ago
- Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'☆212Updated 2 years ago
- [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"☆165Updated 2 years ago
- This repository is for coding exercises listed in Book Hands on One Shot Learning.☆112Updated 2 years ago