fit
AI summary
Few-shot learner
This repository provides code for a few-shot transfer learning approach to personalized and federated image classification
- stars
- 11
- forks
- 3
- watching
- 4
Similar projects
Found by comparing what the projects do, not just their names.
Few-shot learning model
An implementation of the Optimization as a Model for Few-Shot Learning paper in PyTorch
Few-shot learning tool
A framework for efficient few-shot learning with Sentence Transformers
Few-shot learning model
An implementation of the Learning to Compare paper in PyTorch
Few-shot learner
A Python-based few-shot learning framework for medical applications utilizing a visual language model.
ML toolkit
Tools for building machine learning solutions on satellite imagery
Machine learning library
An easy-to-use machine learning library with various algorithms for classification and regression tasks.
Machine Learning Dataset Library
A Racket module for managing machine learning datasets and providing interfaces to various classification algorithms.
Machine Learning Logger
A lightweight logger for machine learning experiments
Image retrieval benchmark
Provides code and data for an image retrieval benchmark that tests contextual understanding of text descriptions with images.
Image Segmentation Tool
A Python implementation of a federated learning approach to personalized medical image segmentation
Machine Learning Tutorial
A tutorial on applying machine learning to practical situations using the scikit-learn library
Medical NLP training data
A large-scale instruction-tuning dataset for multi-task and few-shot learning in the medical domain
dask/dask-ml907
Machine Learning Engine
A Python library for scalable machine learning using Dask alongside popular ML libraries
Image classifier
A PyTorch project for comparing image classification models and facilitating quick experiment setup
Deep learning trainer
Provides a flexible and configurable framework for training deep learning models with PyTorch.
