Handwritten digits, a bit like the MNIST dataset.

A simple, easy to use MNIST loader written in Python 3

MNIST Database of Handwritten Digits for MATLAB

Handwritten Number Recognition using CNN and Character Segmentation

Easy to use CMATERdb datasets converted in NumPy format

Trains a Neural Network to read handwritten digits (OCR). Uses synaptic for Node.js, socket.io and MongoDB

Python implementation of a Yatzy score sheet detection using OpenCV, TensorFlow, MNIST

Multiple Handwritten Digit Recognition app Using Deep Learing - CNN from Canvas build on tkinter- GUI

Collection of Machine Learning Algorithms

Handwritten digit classification web app using Streamlit

MNIST Database of Handwritten Digits

Generate handwritten digits using Gans

Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.

a OCR for digits using MNIST dataset

Handwritten Digits and Alphabets Recognition using Convolutional Neural Networks

Digit recognition using SVM

MNIST handwritten digit classification using PyTorch

This project offers a simple and intuitive interface for users to input text and generate images that showcase the text in a handwritten style. The generator supports several stylistic modifications including bold, underline, and color alterations, allowing users to create personalized and visually appealing images from their text.

A collection of 107,730 28x28 PNG files of digits from 0-9, with a dataset generator.

Using Multi Layer Perceptron to build the model. Classifies the handwritten digits of the MNIST database with around 98% accuracy.