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jeffreykuang's Projects

kenlm icon kenlm

KenLM: Faster and Smaller Language Model Queries

libtorchdetection icon libtorchdetection

C++ trainable detection library based on libtorch (or pytorch c++). Yolov4 tiny provided now.

linemod icon linemod

An OR pipeline based on LINE-MOD from OpenCV

masr icon masr

中文语音识别; Mandarin Automatic Speech Recognition;

mmcv icon mmcv

OpenMMLab Computer Vision Foundation

mmocr-1 icon mmocr-1

OpenMMLab Text Detection and Recognition Toolbox

partsbaseddetector icon partsbaseddetector

C++ implementation of Deva Ramanan's "Articulated Pose Estimation with Flexible Mixtures of Parts"

pdf2docx icon pdf2docx

Parse PDF file with PyMuPDF and generate docx with python-docx

photoprism icon photoprism

AI-Powered Photos App for the Decentralized Web 🌈💎✨

pick-pytorch icon pick-pytorch

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

pyconcrete icon pyconcrete

Protect your python script, encrypt it as .pye and decrypt when import it

pycorrector icon pycorrector

pycorrector is a toolkit for text error correction. It was developed to facilitate the designing, comparing, and sharing of deep text error correction models.

pyprotect icon pyprotect

A lightweight python code protector, makes your python project harder to reverse engineer

pytorch_tabular icon pytorch_tabular

A standard framework for modelling Deep Learning Models for tabular data

real-time-network icon real-time-network

real-time network architecture for mobile devices and semantic segmentation

scribus icon scribus

Mirror of official Scribus SVN (however you should really use SVN at svn://scribus.net) (http://bugs.scribus.net ← Submit PRs & Bugs)

stdf-viewer icon stdf-viewer

A free GUI tool to visualize STDF (semiconductor Standard Test Data Format) data files.

synthtext icon synthtext

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

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