Implementation of Generating Sequences With Recurrent Neural Networks by Alex Graves
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Updated
Apr 15, 2020 - Jupyter Notebook
Implementation of Generating Sequences With Recurrent Neural Networks by Alex Graves
A simple CNN model for MNIST image classification
CG-GAN for Vietnamese Handwriting Words and Nom Characters
The Handwriting Homework Generator is a tool that converts digital text into handwritten format, allowing users to create handwritten homework easily.
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.
data synthesis for simulation of pen-based interaction
An online handwriting synthesizer based on Alex Graves paper - Generating Sequences With Recurrent Neural Networks. GUI built in electron.js
Handwriting Generation using multi layer LSTM Mixture Density Network with Pytorch
Generate handwriting in a completely offline fashion
Using Long Short-term Memory recurrent neural networks to generate highly realistic cursive handwriting in a wide variety of styles.
Sample your own (Russian) handwriting to synthesize new handwritten text
Implementation of paper "Generating Sequences With Recurrent Neural Networks"
sequence generation using RNN using pytorch
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.
Telegram Bot to convert text to Handwriting using pywhatkit.
[Siggraph Asia, 2020] sketch-transformerMMD: An Improved Sketch Generation Model [Publication: Pixelor: A Competitive Sketching AI Agent. So you think you can beat me?
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