Popular GitHub Repositories for Raw Zero Shot

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

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

SGLang is a fast serving framework for large language models and vision language models.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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.

Agent Zero AI framework

A framework for few-shot evaluation of language models.

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

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.

Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

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

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

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

Foundational model for human-like, expressive TTS

Single Shot MultiBox Detector in TensorFlow