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

Simple neural network implemented from scratch in C++.

Emerging Technologies Project - 4th Year 2017

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

Testing repository for digit classification convolutional network

WebCam Real Time Digits Recognition - OpenCV Python3

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.

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