F2L
Few-shot learning framework
An implementation of Federated Few-shot Learning using Python and the PyTorch framework.
18 stars
1 watching
5 forks
Language: Python
last commit: about 2 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| | An implementation of the Optimization as a Model for Few-Shot Learning paper in PyTorch | 255 |
| | A Python-based few-shot learning framework for medical applications utilizing a visual language model. | 396 |
| | An implementation of the Learning to Compare paper in PyTorch | 251 |
| | A PyTorch-based framework for Federated Learning experiments | 40 |
| | A framework for efficient few-shot learning with Sentence Transformers | 2,267 |
| | This repository provides code for a few-shot transfer learning approach to personalized and federated image classification | 11 |
| | Provides tools and datasets for meta-learning and few-shot learning in deep learning | 1,996 |
| | A framework for non-IID federated learning via neural propagation | 6 |
| | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
| | A PyTorch implementation on Apache Spark for distributed deep learning model training and inference. | 339 |
| | Learning resources for Fortran programming language | 0 |
| | A PyTorch-based framework for training and validating models that produce high-quality embeddings for computer vision and other tasks. | 897 |
| | A deep learning framework for handling heterogeneous tabular data with diverse column types | 582 |
| | Implementation of Federated Self-Superivised Learning for video understanding | 24 |
| | A PyTorch implementation of Federated Class-Incremental Learning for Continual Learning in Computer Vision | 102 |