Popular GitHub Repositories for External Table

一个简单的本地网页界面，使用ChatTTS将文字合成为语音，同时支持对外提供API接口。A simple native web interface that uses ChatTTS to synthesize text into speech, along with support for external API interfaces.

Highly Customizable AI Research Agent just like NotebookLM or Perplexity, connected to external sources such as search engines (Tavily), Slack, Notion, and more.

Synthetic data generation for tabular data

A Repo For Document AI

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, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.

A modular RL library to fine-tune language models to human preferences

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

An on-premises unstructured data extraction tool powered by vision language models.

MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.

BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.

Multi-modal OCR pipeline optimized for ML training (text, math, tables, diagrams)

Pytorch Library for Relational Table Learning with LLMs.

A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.

Not only automatic, but also intelligent. An Intelligent data Visualization System, based on LLM.

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

AI Tool for querying natural language on tabular data.

ACM Multimedia 2023: DocDiff: Document Enhancement via Residual Diffusion Models. Also contains 1597 red seals in Chinese scenes, along with their corresponding binary masks.

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.

This project collects GPU benchmarks from various cloud providers and compares them to fixed per token costs. Use our tool for efficient LLM GPU selections and cost-effective AI models. LLM provider price comparison, gpu benchmarks to price per token calculation, gpu benchmark table