1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

GPT-3: Language Models are Few-Shot Learners

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A framework for few-shot evaluation of language models.

[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

A PyTorch Library for Meta-learning Research

Efficient few-shot learning with Sentence Transformers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

collection of diffusion model papers categorized by their subareas

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

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

Pytorch implementation for few-shot photorealistic video-to-video translation.

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

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

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

Repository for few-shot learning machine learning projects

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Implementations of few-shot object detection benchmarks

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

[TPAMI 2023] LibFewShot: A Comprehensive Library for Few-shot Learning.

MiMo-Audio: Audio Language Models are Few-Shot Learners

Dataset approched by A Benchmark and Frequency Compression Method for Infrared Few-Shot Object Detection

Collection for Few-shot Learning

Few Shot Semantic Segmentation Papers

My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

A Large-Scale Few-Shot Relation Extraction Dataset