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Starred repositories
YTsaurus is a scalable and fault-tolerant open-source big data platform.
OpenOCR: An Open-Source Toolkit for General OCR Research and Applications, integrates a unified training and evaluation benchmark, commercial-grade OCR and Document Parsing systems, and faithful re…
The low-level, core functionality of boto3 and the AWS CLI.
The Institutional Data Initiative's pipeline for analyzing, refining, and publishing the Institutional Books 1.0 collection.
WebMainBench is a specialized benchmark tool for end-to-end evaluation of web main content extraction quality.
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
A Rust-based regex crate wrapper for Python3 to get faster performance. 👾
High-performance regular expression matching library
An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone
YOLO models trained by DocLayNet - power your Document Intelligent by Layout Analysis
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🐲 ZHLID: Open-source language identification tool specialized for fine-grained Chinese varieties.
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
cuTile is a programming model for writing parallel kernels for NVIDIA GPUs
Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.
MinerU-HTML: An SLM-powered HTML main content extractor that outputs clean HTML bodies. Perfect for Deep Research Agents, RAG applications, and training data generation.
High performance and CommonMark compliant HTML to Markdown converter. Maintained by the Kreuzberg.dev team. Kreuzberg.dev is a fast, polyglot document intelligence engine with a Rust core. It extra…
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.
LLM Council works together to answer your hardest questions