artificial-intelligence

Refine high-quality datasets and visual AI models

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Agentic AI Framework for Java Developers

Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Graph-Native Infrastructure for Context and Accountable AI Systems

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

TensorFlow-based neural network library

Best Practices, code samples, and documentation for Computer Vision.

Cybersecurity AI (CAI), the framework for AI Security

🏰 An exciting game of programming and Artificial Intelligence

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

An Application Framework for AI Engineering

⏰ Agenticly track worldwide conference deadlines (Website, Python Cli, Wechat Applet)

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

🧙 Build, run, and manage data pipelines for integrating and transforming data.

👀 Train a 65M-parameter VLM from scratch in just 2h!

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Caffe2 is a lightweight, modular, and scalable deep learning framework.

⚙️🦀 Build modular and scalable LLM Applications in Rust