ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Updated
May 23, 2024 - C++
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A type-safe, lightweight, modern, and performant binding Java binding of Microsoft's ONNX Runtime
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
🤖🌊 aiFlows: The building blocks of your collaborative AI
AI Audio Framework 🎵
Optimization Framework for Tosa-Dialect (MLIR) based Distributed or NUMA targeted workloads
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
Pure C ONNX runtime with zero dependancies for embedded devices
Guidelines and frameworks for ethical AI integration and management in progressive organizations.
A Streamlined Python Framework for Rapidly Building and Deploying Machine Learning-Based AIs
A simple neural network inference framework
Medical-AI is a AI framework specifically for Medical Applications https://aibharata.github.io/medicalAI/
A list of almost all LMs (large model),include LLMs
AI framework/starter kit for content publishing tools
Portable Deep Learning Library for .NET
Multiple Jupyter Notebooks using TensorFlow Framework (Google's open source Deep Learning AI framework for machine learning and high performance numerical computation.)
An AI Framework developed in the Unity Game Engine for an ASU Barrett Honors Creative Project
General Framework for Dota 2 AI Competitions
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