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.
- ocr
- chineseocr
- pdf2markdown
- pp-ocr
47,133 repositories indexed
1–24 of 43 · Most stars
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.
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Topic Modelling for Humans
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
OCR & Document Extraction using vision models
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Implementation of Nougat Neural Optical Understanding for Academic Documents
:house: Home Assistant configuration & Documentation for my Smart House. Write-ups, videos, part lists, and links throughout. Be sure to :star: it. Updated FREQUENTLY!
Module for automatic summarization of text documents and HTML pages.
An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
README file generator, powered by AI.
Deep neural network to extract intelligent information from invoice documents.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Assist in organizing your piles of documents, resulting from scanners, e-mails and other sources with miminal effort.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
A full spaCy pipeline and models for scientific/biomedical documents.
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
A curated list of resources for Document Understanding (DU) topic
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.