Handwritten digits, a bit like the MNIST dataset.
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Updated
Jun 27, 2020
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
Multiple Handwritten Digit Recognition app Using Deep Learing - CNN from Canvas build on tkinter- GUI
Python implementation of a Yatzy score sheet detection using OpenCV, TensorFlow, MNIST
Collection of Machine Learning Algorithms
Handwritten digit classification web app using Streamlit
MNIST Database of Handwritten Digits
Digit recognition using SVM
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
MNIST handwritten digit classification using PyTorch
A collection of 107,730 28x28 PNG files of digits from 0-9, with a dataset generator.
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.
Famous MNIST dataset is used to build a simple model which can predict handwritten digits
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