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Starred repositories
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
A text extraction library supporting PDFs, images, office documents and more
Repository for Marp Themes created with beauty and simplicity in mind.
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
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
Open source multi-modal RAG for building AI apps over private knowledge.
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 📱💻 🖥️⌚
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.