Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

sequence generation using RNN using pytorch

Implementation of paper "Generating Sequences With Recurrent Neural Networks"

Handwriting Synthesis and Prediction - PyTorch Implementation

Generate handwriting in a completely offline fashion

Handwriting Generation using multi layer LSTM Mixture Density Network with Pytorch

Implementation of Generating Sequences With Recurrent Neural Networks by Alex Graves

Using Long Short-term Memory recurrent neural networks to generate highly realistic cursive handwriting in a wide variety of styles.

[Siggraph Asia, 2020] sketch-transformerMMD: An Improved Sketch Generation Model [Publication: Pixelor: A Competitive Sketching AI Agent. So you think you can beat me?

You can convert text/word word file to your handwriting. The results are indistinguishable from original handwritting.

A webapp that converts voice input to handwritten docs and lets you save the file in pdf format.##MLH 2020.

Sample your own (Russian) handwriting to synthesize new handwritten text

A simple CNN model for MNIST image classification

An online handwriting synthesizer based on Alex Graves paper - Generating Sequences With Recurrent Neural Networks. GUI built in electron.js

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

This project offers a simple and intuitive interface for users to input text and generate images that showcase the text in a handwritten style. The generator supports several stylistic modifications including bold, underline, and color alterations, allowing users to create personalized and visually appealing images from their text.

Telegram Bot to convert text to Handwriting using pywhatkit.

CG-GAN for Vietnamese Handwriting Words and Nom Characters