ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
AI Productivity Tool - Free and open-source, enhancing user productivity while ensuring privacy and data security. It provides efficient and convenient AI solutions, including but not limited to: built-in exclusive ChatGPT, one-click batch intelligent processing of images and videos, and more.
🤖🌊 aiFlows: The building blocks of your collaborative AI
Pure C ONNX runtime with zero dependancies for embedded devices
General Framework for Dota 2 AI Competitions
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.
A simple neural network inference framework
A type-safe, lightweight, modern, and performant binding Java binding of Microsoft's ONNX Runtime
Medical-AI is a AI framework specifically for Medical Applications https://aibharata.github.io/medicalAI/
Make a distributed deep learning framework from scratch
The AI Vulnerability Assessment Framework is an open-source checklist designed to guide users through the process of assessing the vulnerability of artificial intelligence (AI) systems to various types of attacks and security threats
AI framework/starter kit for content publishing tools
These guides are designed to help teams and individuals leverage AI tools like GitHub Copilot, OpenAI, and Claude to build software projects efficiently and effectively
Portable Deep Learning Library for .NET
AI Audio Framework 🎵
Extension to integrate AI into your favourite apps and websites that are too slow to integrate it themselves!
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
LlamaFlow is a framework that has inbuilt agentic workflows,reiterative reflection and llm review system making it a true framework for llm applications
A Streamlined Python Framework for Rapidly Building and Deploying Machine Learning-Based AIs
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