Shandilya21 / Few-ShotLinks
A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
☆86Updated 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…☆119Updated 2 years ago
- This repository is the official implementation Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with S…☆115Updated last year
- Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"☆32Updated 3 years ago
- Implementation of Open-Set Likelihood Maximization for Few-Shot Learning☆41Updated 2 years ago
- ☆27Updated 3 years ago
- Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'☆39Updated 3 years ago
- LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.☆112Updated 2 years ago
- ☆195Updated 9 months ago
- Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'☆212Updated last year
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆122Updated 2 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆44Updated last year
- ☆69Updated 5 years ago
- Example of one shot learning and few shot learning with omniglot dataset.☆24Updated 4 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆247Updated 3 years ago
- This repository is for coding exercises listed in Book Hands on One Shot Learning.☆110Updated 2 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆65Updated 3 years ago
- Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification☆40Updated 2 years ago
- An implementation of "Prototypical Networks for Few-shot Learning" on a notebook in Pytorch☆57Updated 5 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆36Updated 4 years ago
- This repo contains codes for Learning a Few-shot Embedding Model with Contrastive Learning(AAAI2021)☆62Updated 4 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆230Updated 4 years ago
- ☆155Updated last year
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆58Updated 2 years ago
- [ICML 2023] A Closer Look at Few-shot Classification Again☆58Updated 2 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).☆48Updated 2 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆98Updated last year
- A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-…☆112Updated 3 years ago
- The code for "SCL: Self-supervised contrastive learning for few-shot image classification"☆17Updated 10 months ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆427Updated 5 years ago