Programmatically generate SVG (vector) images, animations, and interactive Jupyter widgets
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Updated
Jun 24, 2024 - Python
Programmatically generate SVG (vector) images, animations, and interactive Jupyter widgets
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
Software that can autocomplete sketches as the user starts drawing.
Create beautiful dynamic art in sand
ScreenPen is a simple screen annotation software that allows drawing directly on the screen.
Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.
Draw your net
Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"
Lottery analysis + features for use in Machine Learning algorithms
Deep Learning Based Interactive Image Inpainting Demo
NP DRAW paper released code
kanjidraw - handwritten kanji recognition library + gui
Python project that tracks hand position in real-time and draws on screen using the index finger.
Terminal compatible text-based drawing program
Fills the lack of an open-source PDF Editor with the capability to draw and add notes
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