F2L

Few-shot learning framework

An implementation of Federated Few-shot Learning using Python and the PyTorch framework.

GitHub

18 stars
1 watching
5 forks
Language: Python
last commit: over 1 year ago

Related projects:

Repository Description Stars
gitabcworld/fewshotlearning An implementation of the Optimization as a Model for Few-Shot Learning paper in PyTorch 255
snap-stanford/med-flamingo A Python-based few-shot learning framework for medical applications utilizing a visual language model. 396
dragen1860/learningtocompare-pytorch An implementation of the Learning to Compare paper in PyTorch 251
shenzebang/federated-learning-pytorch A PyTorch-based framework for Federated Learning experiments 40
huggingface/setfit A framework for efficient few-shot learning with Sentence Transformers 2,267
cambridge-mlg/fit This repository provides code for a few-shot transfer learning approach to personalized and federated image classification 11
tristandeleu/pytorch-meta Provides tools and datasets for meta-learning and few-shot learning in deep learning 1,996
codepothunter/fednp A framework for non-IID federated learning via neural propagation 6
zhanghang1989/pytorch-encoding A Python framework for building deep learning models with optimized encoding layers and batch normalization. 2,044
dmmiller612/sparktorch A PyTorch implementation on Apache Spark for distributed deep learning model training and inference. 339
pwittchen/learning-fortran Learning resources for Fortran programming language 0
oml-team/open-metric-learning A PyTorch-based framework for training and validating models that produce high-quality embeddings for computer vision and other tasks. 897
pyg-team/pytorch-frame A deep learning framework for handling heterogeneous tabular data with diverse column types 582
yasar-rehman/fedvssl Implementation of Federated Self-Superivised Learning for video understanding 24
conditionwang/fcil A PyTorch implementation of Federated Class-Incremental Learning for Continual Learning in Computer Vision 102