Popular GitHub Repositories for Summary Of A Haystack

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

real time face swap and one-click video deepfake with only a single image

? Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / DeepSeek / Qwen), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Plugins/Artifacts) and Thinking. One-click FREE deployment of your private ChatGPT/ Claude / DeepSeek application.

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

A natural language interface for computers

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Clone a voice in 5 seconds to generate arbitrary speech in real-time

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

A high-throughput and memory-efficient inference and serving engine for LLMs

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

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

100 Days of ML Coding

A programming framework for agentic AI ? PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

? Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Port of OpenAI's Whisper model in C/C++

?? - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

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

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.