digit-classification

RafayKhattak/Digit-Classification-Pytorch

Simple MNIST Handwritten Digit Classification using Pytorch

mcagriaksoy/HighPreciseKannadaDigitRecogniser

Kaggle Top 4% Project. CNN Based high precise MNIST like Kannada digit recognizer

antonio-f/TensorFlow2_digits_classification-Linear_Classifier-MLP

TensorFlow2 digits classification - Linear Classifier and MLP

tohid-yousefi/GUI_Python_Digit_Classification_Project_with_PyQt5

In this part, we developed an interface for Digit Classification using the PyQt5 library in Python.

Abhiramborige/Workshops

Workshops

albinjm/AutoDigit

This project uses autoencoders to denoise MNIST images, aiming to improve handwritten digit recognition by refining classifier training data

kiarashrahmani/MNIST-digit-detection-using-keras

A simple project that detects handwritten digits with keras

udaram/Deep-Learning-

Ankit152/DigitAudio

Classification of digits based on their Audio Inputs.

charan89/Digit_recognition_numpy

Making Neural network model from scratch for prediction of digit classification. Its built from scratch using feedforward and backpropagation loops using numpy arrays.

im-dpaul/Digit-Recognizer

Code and data for the Digit Recognizer competition on Kaggle.

janup9967/Handwritten-Digit-Recognition

The handwritten digit recognition is the ability of computers to recognize human handwritten digits. It is a hard task for the machine because handwritten digits are not perfect and can be made with many different classifier model

lychengrex/Digit-Classification-Using-SVM

Implement digit classification using LibSVM libarary.

pratham3012/Digit-Classification-with-MNIST-Dataset

Designd a ML Model from the MNIST dataset to identify digit classification using the SVM algorithm.

ruddanil/NN-DigitClassification-MultilayerPerceptron-NET-Console-SSTU

A simple neural network emulator of a multilayer perceptron without using external library methods for classification digits (0, 1, 2 and 3) represented as an array of 0 and 1.

Steepspace/Digit-Classification

Digit classification task using Naive Bayes, Perceptron, and MIRA.

Vidyush/digiclassifier

I have implemented a Conv2d algo to classify the hand made digits data which can be found on Kaggle . Got an accuracy of 99.76. To download the data for this model go to https://www.kaggle.com/c/digit-recognizer

fbasatemur/Digit_Classification_with_CNN

felixchenfy/Draw_Digit_then_Classify

A GUI written in C++ in Ubuntu18. Draw a digit and see the recognition result. Training: k-means extracts patch features + PCA + fc layer + cost + SGD training.

Learnlearningplatform/Digit_Recognition_App

Draw Digits to auto recognise them

mwpryer/digit-recognition

Web interface to a Convolutional Neural Network (CNN) for classifying handwritten digits

rishz09/prml-course-project

Handwritten Digit Classification on MNIST Dataset, Utilising Only Traditional Machine Learning Techniques and a Custom Feature Extractor

rohitrawat13396/Machine-Learning-Clustering-with-K-means-on-digit-data-and-Scene-Classification-using-LibSVM

Scene Classification

Senan25/KNN_model_on_Mnist_digit_classification

It is about implementing KNN(K nearest neighbor) on Mnist dataset which contains digit images

Ultan-Kearns/EmergingTechProject

4th Year Emerging Technologies Project

YigitGunduc/Mnist-Digit-Classification-Keras-Visualized

In this project, I use Keras and TensorFlow to classify digits and python's Tkinter library to visualize