Few Shot Learning Python Packages

setfit

Efficient few-shot learning with Sentence Transformers

medmnist

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

torchmeta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

paddlefsl

FSL-Mate: A collection of resources for few-shot learning (FSL).

adapt

Awesome Domain Adaptation Python Toolbox

sieves

Plug-and-play document AI with zero-shot models.

finetuner

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

easyfsl

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

fewsoldataloader

Pytorch Dataloader for FewSOL

proto-clip-toolkit

Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning | IROS 2024

cross-transformers-pytorch

Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch

metavisionary

It empowers users to train machine learning models efficiently even when confronted with datasets containing a limited number of samples and classes that bear resemblance to each other.

mdpo-llm

Incremental Markdown translation with LLMs — track blocks in PO files, only retranslate what changed

meta-learning-toolkit

meta-learning toolkit for Artificial Intellgence (AI) development

ibbi

The Intelligent Bark Beetle Identifier (IBBI) is a Python package that provides a simple and unified interface for detecting and classifying bark and ambrosia beetles from images. https://joss.theoj.org/papers/10.21105/joss.08796

adaptation

Awesome Domain Adaptation Python Toolbox

insurance-thin-data

Transfer learning and foundation models for thin-segment pricing - GLMTransfer, TabPFN wrapper, MMD shift test

fusionsent

Repository of the ICNLSP 2024 paper "Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes"

tlidb

Transfer Learning in Dialogue Benchmarking Toolkit

adept-augmentations

A Python library aimed at dissecting and augmenting NER training data.

mmfewshot

OpenMMLab FewShot Learning Toolbox and Benchmark

finetuner-client

Finetuner allows one to tune the weights of any deep neural network for better embeddings on search tasks.

metallic

A clean, lightweight and modularized PyTorch meta-learning library.

state-op

A pipeline for Prompt-tuning