Popular GitHub Repositories for Scientific Documents

Get your documents ready for gen AI

PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker/Zotero

An open-source RAG-based tool for chatting with your documents.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

High accuracy RAG for answering questions from scientific documents with citations

A highly extensible Markdown editor. Version control, AI Copilot, mind map, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applets, Reveal.js, plug-in, and macro replacement.

mlpack: a fast, header-only C++ machine learning library

A machine learning software for extracting information from scholarly documents

An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Module for automatic summarization of text documents and HTML pages.

A curated list of resources for using LLMs to develop more competitive grant applications.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

A library for scientific machine learning and physics-informed learning

An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks

Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSON or Markdown

Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)

Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

Deep neural network to extract intelligent information from invoice documents.

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/