AI
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
☁️ Build multimodal AI applications with cloud-native stack
Examples and guides for using the OpenAI API
😎 A curated list of awesome MLOps tools
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
stable diffusion webui colab
🔊 Text-Prompted Generative Audio Model
🦜🔗 The platform for reliable agents.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Open-source search and retrieval database for AI applications.
🦀Rust + Large Language Models - Make AI Services Freely and Easily.
A guidance language for controlling large language models.
Community interface for generative AI
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
リアルタイムボイスチェンジャー Realtime Voice Changer
[Unmaintained, see README] An ecosystem of Rust libraries for working with large language models
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Interact with your documents using the power of GPT, 100% privately, no data leaks
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
12 Weeks, 24 Lessons, AI for All!
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
A secure and efficient gateway for interacting with OpenAI's API, featuring load balancing, user request handling without individual API keys, and global access control.
🌻 一键拥有你自己的 ChatGPT+众多AI 网页服务 | One click access to your own ChatGPT+Many AI web services
bloop is a fast code search engine written in Rust.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
An Open-Ended Embodied Agent with Large Language Models
A reactive runtime for building durable AI agents