Stars
A feature-rich command-line audio/video downloader
UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition
Toolkit for linearizing PDFs for LLM datasets/training
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowe…
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo…
A modern load testing tool, using Go and JavaScript
🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
macOS Adobe apps download & installer
This repository preserves access to source code and binaries following the Reddit community removal. Strictly for research and archival purposes.
qstock由“Python金融量化”公众号开发，试图打造成个人量化投研分析包，目前包括数据获取（data）、可视化(plot)、选股(stock)和量化回测（策略backtest）模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口； 选股模块提供了同花顺的选股数据和自定义选股，包括RPS、MM趋势、财务指标、资金流模型…
Financial data platform for analysts, quants and AI agents.
Python tool for converting files and office documents to Markdown.
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Integrate the DeepSeek API into popular software
Janus-Series: Unified Multimodal Understanding and Generation Models
DeepSeek Coder: Let the Code Write Itself
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
全网乱传的Deepseek从入门到精通的PDF版本，清华大学新闻与传播学院 新媒体研究中心 元宇宙文化实验室
A list of Garmin application, both for Garmin devices and other tools
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
Jupyter notebooks with exercises for the No bullshit guide to linear algebra.