Convolutional neural network model for handwritten digit classification, with dataset generator, and drawable input for new digits to test the models. Leave your STAR here and get a FOLLOWING!

a web application of handwritten digits recognition based on Django

Emerging Technologies Project - 4th Year 2017

Simple neural network implemented from scratch in C++.

ROS TensorRT Inference Nodes for DIGITS on the Jetson

Digits detection with YOLOv8 detection model and ONNX pre/post processing

Using Keras MobileNet-v2 model with your custom images dataset

Recognize Digits

An automated data collection system that can read sintering data on the meter by a single camera

hand-written digits recongnization base on RBM

Implementation of Persian Isolated-Digits Recognition with Matlab

Recognition of digits using Convolution Neural Networks and openCV Concept

Simple text-to-numbers library wriiten in java for russian language. Based on https://github.com/Doomer3D/Genesis.CV

Artificial Neural Network to identify handwritten digits between 0 and 9

WebCam Real Time Digits Recognition - OpenCV Python3

Testing repository for digit classification convolutional network

Implementation of multinomial logistic regression, tested on iris, digits, and cifar datasets

Vision Transformers in PyTorch MNIST Handwritten Digit Recognition

This repository contains some of the machine learning scripts that I have implemented as a part of Machine Learning coursework.