Popular GitHub Repositories for Model Building

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

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

21 Lessons, Get Started Building with Generative AI ? https://microsoft.github.io/generative-ai-for-beginners/

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

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

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

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

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

LlamaIndex is the leading framework for building LLM-powered agents over your data.

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

Making large AI models cheaper, faster and more accessible

?? - 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.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

A generative speech model for daily dialogue.

Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. ?

AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.

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

Easily train a good VC model with voice data <= 10 mins!