Popular GitHub Repositories for Handwritten Digits

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

OCR engine for all the languages

OCR software for recognition of handwritten text

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.

A free audio dataset of spoken digits. An audio version of MNIST.

Implementation of CNN on ZYNQ FPGA to classify handwritten numbers using MNIST database

Official Code for ECCV 2024 paper — One-Shot Diffusion Mimicker for Handwritten Text Generation

Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Powerful handwritten text recognition. A simple-to-use, unofficial implementation of the paper "TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models".

Verify the authenticity of handwritten signatures through digital image processing and neural networks. ??

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

Handwritten Chinese Characters Generation

Official implementation for ICDAR 2021 best poster paper "Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer"

Official implementation for ECCV 2022 paper "CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition"

In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

Vanilla neural network implemented in all major languages

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