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sheirving's Projects

algorithms icon algorithms

Several algorithms and data structures implemented in C++ by me (credited to others where necessary).

awesome-python-webapp icon awesome-python-webapp

小白的Python入门教程实战篇:网站+iOS App源码→ http://t.cn/zQXcs9S 赞助→ http://t.cn/R5bhVpf

awesome-readme icon awesome-readme

A guide to writing an Awesome README. Read the full article in Towards Data Science.

caffe icon caffe

Caffe: a fast open framework for deep learning.

character-queries icon character-queries

The official implementation of "Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation"

ctc-optimizedloss icon ctc-optimizedloss

Computes the MWER (minimum WER) Loss with CTC beam search. Knowledge distillation for CTC loss.

ctc_beam_search_lm icon ctc_beam_search_lm

CTC+Beam_Search+kenlm 是用于以汉字为声学模型建模单元的解码系统

ctcwordbeamsearch icon ctcwordbeamsearch

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

deslantimg icon deslantimg

The deslanting algorithm sets text upright in images. CPU (C++) and GPU (OpenCL) implementation provided.

dltk icon dltk

Deep Learning Toolkit for Medical Image Analysis

edges icon edges

Structured Edge Detection Toolbox

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

gat-stroke icon gat-stroke

Graph attention network for stroke classification

gesture_recognition icon gesture_recognition

real-time gesture recognition and area preditction application, wrote in C++ with QT.

handwritten-chinese-ocr-samples icon handwritten-chinese-ocr-samples

End-to-end model training and deployment reference for handwritten Chinese text recognition, and can also be extended to other languages.

handwritten-flowchart-with-cnn icon handwritten-flowchart-with-cnn

Recognition of handwritten flowcharts using convolutional neural networks to generate C source code and reconstructed digital flowchart.

hwrt icon hwrt

A toolset for handwriting recognition

iamhwr icon iamhwr

Online handwriting recognition on IAM-ON database with TDNN and RNN

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