Popular GitHub Repositories for Scientific Languages

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 80+ languages.

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

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning. Supports 1,107+ languages!

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

AI模型接口管理与分发系统，支持将多种大模型转为OpenAI格式调用、支持Midjourney Proxy、Suno、Rerank，兼容易支付协议，可供个人或者企业内部管理与分发渠道使用，本项目基于One API二次开发。? The next-generation LLM gateway and AI asset management system supports multiple languages.

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, support 11 programming languages

High accuracy RAG for answering questions from scientific documents with citations

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

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

A machine learning software for extracting information from scholarly documents

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

A library for scientific machine learning and physics-informed learning

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

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.

TensorFlow API for .NET languages

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

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.