an app recognizing written digits. Using Tensorflow Keras and Pygame 🔢 [finished]

Implementation of Digit recognizer using the Keras package with Tensorflow in the back end using Pyhton. Got an accuracy of 0.9816 in predicting digits from the images.

Repository containing codes made for different Kaggle's Competitions. Competitions in this repository: Digit Recognizer, Titanic and Kannada MNIST.

pandas, sklearn, seaborn, matplotlib

Contains basic model for digit recognition using CNN

MNIST handwritten digit recognizer built on PyTorch

This repository contains two sample implementations of the traditional Computer Vision task, Digit Recognizer from Kaggle. The URL of the dataset and relevant information can be found here: https://www.kaggle.com/c/digit-recognizer

This repository is for a digit-classifier-app that i'm building

MNIST Digit Recognizer with Machine Learning (CNN, MLP, KNN, SVM, Decision Tree, Random Forest)

The final experiment of machine learning 24, spring in HUST.

Numerical Methods: "Handwritten Digit Recognition" Group Project - 2nd Semester 2021 - Computer Science, UBA

Digit Recognizer is a Kaggle based competition. In this competition, goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. Implemented different machine learning algorithms (Convolutional Neural Network, Random Forest, Support Vector Machine, Gradient Boosted Method) to improve the accuracy of model.

Digit Recognition with CNN

Hand Written Digit-recognizer build with Tensorflow and Numpy. The interface for this module is built with Gradio.

Digit Recognizer 91.4% accuracy

A random forest classifier to recognize handwritten digits

Desktop app in C++ Qt that interpret digit (0 or 1) from hand writing on the canvas

Digit recognition using Keras.

Deep Learning project with MNIST dataset to help machines recognizing handwritten digits

Simple CNN for recognizing hand written digits