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

MNIST handwritten digit classification using PyTorch

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

Handwritten Digits and Alphabets Recognition using Convolutional Neural Networks

Handwritten Number Recognition using CNN and Character Segmentation

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

MNIST Database of Handwritten Digits

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

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

Digit recognition using SVM

Recognizes handwritten digits using Keras and convnets

This is an example for how handwritten digits can be learnt with random forests

A simple implementation of a Restricted Boltzmann Machine, able to perfrom a supervised classification task on the MNIST database of handwritten digits, coded for prof. Bortolozzi course Biological Physics @unipd

A quick analysis of simple CNN architectures classifying Handwritten MNIST dataset.

a OCR for digits using MNIST dataset

Deep Learning using the platform H2O and R

A guide for preprocessing handwritten digits using R