Popular GitHub Repositories for Few Shot Adaptation

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

Instant voice cloning by MIT and MyShell. Audio foundation model.

Supercharge your workflow automation with this curated collection of n8n templates! Instantly connect your favorite apps-like Gmail, Telegram, Google Drive, Slack, and more-with ready-to-use, AI-powered automations. Save time, boost productivity, and unlock the true potential of n8n in just a few clicks.

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

An open source implementation of CLIP.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

A framework for few-shot evaluation of language models.

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2E, F5-TTS, CosyVoice), with Whisper audio processing, RVC voice changer, YouTube download, UVR5 vocal isolation, and multilingual translation.

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

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

Official implementations for paper: Anydoor: zero-shot object-level image customization

Foundational model for human-like, expressive TTS

Single Shot MultiBox Detector in TensorFlow

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code ?.