There are 2 repositories under emnist-dataset topic.
Convert typed text to realistic handwriting!
Alphabet recognition using EMNIST dataset for humans ⚓
✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition
Handwriting recoginition program made using CNN in Python.
Teaching a neural network how to write letters and digits with reinforcement learning.
This is a simple app to predict the alphabet that is written on the screen using an object of interest.
generate arbitrary handwritten letter/digits based on the inputs
Digits Recognizer using correlation and similarity methods in MNIST Letters dataset.
Exploring advanced autoencoder architectures for efficient data compression on EMNIST dataset, focusing on high-fidelity image reconstruction with minimal information loss. This project tests various encoder-decoder configurations to optimize performance metrics like MSE, SSIM, and PSNR, aiming to achieve near-lossless data compression.
Project 3 for Artificial Neural Networks
A deep learning model deployed as a web app to classify handwritten digits and letters using the EMNIST dataset
Library to read the EMNIST and MNIST data sets
Machine learning models.
User handwriting recognition app using a CNN trained on the EMNIST ByClass dataset
Evaluating the accuracy with different CNN kernel sizes for the EMNIST Balanced dataset
This is the code for my IB Extended Essay in Computer Science
A simple NN word recognizer based on the EMNIST dataset
Keras를 활용한 손글씨 교정 사이트 (‘20 제 14회 공개 SW 개발자 대회)
Text extraction using pytorch
Projekti rađeni u programskom jeziku Python. Svi projekti su vezani uz tematiku podatkovne analitike i podatkovne znanosti.
Dask-parallelized project, contrasting GaussianNB and LightGBM models for EMNIST handwritten character classification.
Classify the handwritten letters EMNIST
Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques
# OCR with EAST Text Detection , contour and EMNIST Character Recognition
2020/2021 sem 2 - Neural Network Individual Assignment Project - EMNIST prediction - Predict and evaluate the output of model trained using multiple MLP model created by using the EMNIST datasets.
TextToHandwriting tool
This project aims to implement AI-driven letter recognition using neural network libraries and the EMNIST dataset. By employing deep learning and data preprocessing, we seek to build a versatile system for accurately identifying letters in both handwritten and printed text, with applications in OCR and document digitization.