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A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
GitNexus: The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a git repository (Github, Gitlab, Azure, Local) or…
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Adapter which transforms DIMSE requests to DICOMweb requests
Horos™ is a free, open source medical image viewer. The goal of the Horos Project is to develop a fully functional, 64-bit medical image viewer for OS X. Horos is based upon OsiriX and other open s…
Visualizer for neural network, deep learning and machine learning models
Produce a sharp image of a planetary system object (moon, sun, planets) from many seeing-affected frames according to the "lucky imaging" technique.
A course on aligning smol models.
Lets make video diffusion practical!
The local UI to run and train text and diffusion models, including Kimi K3, Gemma 4, Qwen3.6, DeepSeek-V4, FLUX and more.
ThreadKeeper is an Autodesk® Fusion 360™ add-in that restores custom thread definitions every time they are removed.
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthr…
Open Source AI Platform - AI Chat with advanced features that works with every LLM
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
DeepSeek LLM: Let there be answers
21 Lessons, Get Started Building with Generative AI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Transformer LIbrary Docker Stacks
Ready-to-run Docker images containing Jupyter applications
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Overview and tutorial of the LangChain Library
Stable Diffusion web UI
Atcold / practicalAI
Forked from GokuMohandas/Made-With-MLA practical approach to learning machine learning.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.