curated collection of real world applications that use LLMs

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.

Document intelligence framework for Python - Extract text, metadata, and structured data from PDFs, images, Office documents, and more. Built on Pandoc, PDFium, and Tesseract.

TUM Marp Template for Markdown Slides

Repository for Marp Themes created with beauty and simplicity in mind.

End-to-end AI agents for big data

An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)

A guide to deploy STIG-Manager and have Evaluate-STIG auto upload results to it.

Define, Prompt and Test MCP enabled Agents and Workflows

Transfer learning repo

AI-powered video frame extraction tool that automatically identifies and extracts high-quality frames containing people, with intelligent pose categorization (standing/sitting/squatting), head orie…

💡 VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

Generally Applicable Atomic-Charge Dependent London Dispersion Correction

Introduction to Materials Informatics course at the Skolkovo Institute of Science and Technology

A small python library for handling ionic compounds

deep learning for image processing including classification and object-detection etc.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Distributed Asynchronous Hyperparameter Optimization in Python

A high-throughput and memory-efficient inference and serving engine for LLMs

The most accurate document search and store for building AI apps

Go-blueprint allows users to spin up a quick Go project using a popular framework

A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.

Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚