Convert typed text to realistic handwriting!
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Updated
Oct 27, 2023 - JavaScript
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.
TextToHandwriting tool
Text extraction using pytorch
Keras를 활용한 손글씨 교정 사이트 (‘20 제 14회 공개 SW 개발자 대회)
This is the code for my IB Extended Essay in Computer Science
generate arbitrary handwritten letter/digits based on the inputs
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.
A deep learning model deployed as a web app to classify handwritten digits and letters using the EMNIST dataset
Teaching a neural network how to write letters and digits with reinforcement learning.
Projekti rađeni u programskom jeziku Python. Svi projekti su vezani uz tematiku podatkovne analitike i podatkovne znanosti.
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.
User handwriting recognition app using a CNN trained on the EMNIST ByClass dataset
Machine learning models.
Digits Recognizer using correlation and similarity methods in MNIST Letters dataset.
# OCR with EAST Text Detection , contour and EMNIST Character Recognition
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