This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Solve puzzles. Improve your pytorch.

Run frontier AI locally.

A linear estimator on top of clip to predict the aesthetic quality of pictures

Next-Token Prediction is All You Need

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Learn ML engineering for free in 4 months! Register here 👇🏼

A Conversational Speech Generation Model

StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and te…

Automated TDD enforcement for Claude Code

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Automated workflows for Claude Code. Features spec-driven development for new features (Requirements → Design → Tasks → Implementation) and streamlined bug fix workflow for quick issue resolution (…

All my self trained & released AI upscaling models. After gathering and applying over 600 different upscaling models, I learned how to train my own models, and these are the results.

Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale

Ultra-lightweight (600KB) Face Anti-Spoofing classifier. Optimized MiniFASNetV2-SE implementation validated on 70k+ samples with ~98% accuracy for edge devices.