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The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
☁️ Build multimodal AI applications with cloud-native stack
A toolkit for making real world machine learning and data analysis applications in C++
Speech Note Linux app. Note taking, reading and translating with offline Speech to Text, Text to Speech and Machine translation.
Program for rapidly developing computer vision applications
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
This repository provides a set of tools and libraries to integrate Intel® OpenVINO™ Toolkit with ROS 2 (Robot Operating System), enabling efficient deployment of deep learning models for computer vision applications on Intel® hardware.
ChatGPT Python Applications integrated with third party libraries and modules
Sparse matrix formats for linear algebra supporting scientific and machine learning applications
A tool for quantitative risk analysis of Android applications based on machine learning techniques
🌏 A zero-dependency networking solution for building modern and secure iOS, watchOS, macOS and tvOS applications.
A collection of machine-learned models for use in autonomous driving applications.
A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.
Open-source real-time Voice AI infrastructure in Go. Stream audio via WebRTC or WebSocket, connect STT → LLM → TTS pipelines, and build scalable voice agents and conversational AI applications.