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Tensors and Dynamic neural networks in Python with strong GPU acceleration
A high-throughput and memory-efficient inference and serving engine for LLMs
Convert PDF to markdown + JSON quickly with high accuracy
OCR, layout analysis, reading order, table recognition in 90+ languages
Toolkit for linearizing PDFs for LLM datasets/training
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Jupyter metapackage for installation and documentation
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
All-in-One Development Tool based on PaddlePaddle
A Unified Toolkit for Deep Learning Based Document Image Analysis
Evaluate your speech-to-text system with similarity measures such as word error rate (WER)
🐦 Quickly annotate data from the comfort of your Jupyter notebook
Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation: https://www.youtube.com/watch?v=vAmKB7iPkWw
Convert between CBOR, JSON, MessagePack, TOML, and YAML 1.1 & 1.2
PPOCRLabelv3 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data.
Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
dennisbakhuis / pigeonXT
Forked from agermanidis/pigeon🐦 Quickly annotate data from the comfort of your Jupyter notebook
Annif is a multi-algorithm automated subject indexing tool for libraries, archives and museums.
DaNLP is a repository for Natural Language Processing resources for the Danish Language.
Optical table recognition - recognize tables in scan images using OpenCV
DaCy: The State of the Art Danish NLP pipeline using SpaCy
Python RIS files parser, provides RIS files as dictionary via generator.
Attention-based sequence-to-sequence model for handwritten word recognition
A python-built web crawler to automate file downloads off of https://www.moodle.tum.de/