A list of Machine Learning Art Colabs

Overview

ML Visual Art Colabs

A list of cool Colabs on Machine Learning Imagemaking or other artistic purposes

3D Ken Burns Effect

Ken Burns Effect by Manuel RomeroDemo Video by Lia Coleman

3D Photo Inpainting

3D Photography using Context-aware Layered Depth InpaintingDemo Video

BigBiGAN

BigBiGAN by Tensorflow

BigGan

BigGan by Tensorflow

Colorization

Image Colorizer by DeOldify

Video Colorizer by DeOldify

Coltran by Google Brain

DCGAN

TF-GAN on TPUs by Tensorflow

DeepDream

DeepDream by Alex Mordvintsev • Demo Video

Minimal DeepDream Implementation by Tensorflow

First Order Motion Model

First Order Motion by Aliaksandr Siarohin

FUNIT

FUNIT by shaoanlu

Image/Data Processing

Process WikiArt Dataset by Peter Baylies

Image Generators

Looking Glass 1.1 by bearsharktopusTutorial

Image-GPT by Jonathan Fly

Lucid

Lucid visualizes the networks of many convolutional neural nets

Lucid

Lucent - Lucent is a PyTorch variation of Lucid.

Next Frame Prediction

Next Frame Prediction with Pix2PixHDTraining Demo VideoVideo Generation Demo

Object Detection

YOLO-v5 by Ultralytics

Object Mask Generation

U Square Net by Derrick Schultz

Shape Matching GAN

Shape Matching GAN by Derrick Schultz

SinGAN

SinGAN by Derrick Schultz • Demo Video

SinGAN Distortions by duskvirkus, inspired by the Yuma Kishi's Studies of Collage of Paintings for Humanity

StyleGAN

Flesh Digressions Loops of the constant and style layers • Demo Video

GanSpace Feature detection using PCA • Demo Video

Barycentric Cross-Network Interpolation with different layer interpolation rates by @arfafax

Network BendingDemo Video

Network Blending by Justin PinkneyDemo Video

StyleGAN Paintings (StyleGAN1)

StyleGAN Encoder Tutorial by Peter Baylies

StyleGAN2 by Derrick Schultz

StyleGAN2 by Mikael Christensen

SWA Playground by @arfafax

WikiArt Example Generation Peter Baylies

StyleGAN2 Activations and PCA Projection by duskvirkus, Look at lower network levels of SG2 generator.

Style Transfer

Lucid 2D Style Transfer by Google

Neural Style TF by Derrick Schultz • Demo Video

Superresolution

ESRGAN by Derrick Schultz

Image Superresolution by Erdene-Ochir Tuguldur

SRFBN by Derrick Schultz

SR Zoo ported to Colab by Derrick Schultz

Slow Motion

RIFE by Derrick Schultz (modified from Towards Data Science article)

Super Slomo by Erdene-Ochir Tuguldur

Text-to-Image Generation

Aphantasia by Vadim EpsteinTutorial

Attn-GAN The OG text-to-image generator • notebook by Derrick Schultz

Big Sleep (BigGAN controlled by CLIP) by Ryan Murdock • Demo Video

Disco Diffusion 4.1 by SOMNAIDemo/Tutorial

IllusTrip by Vadim EpsteinTutorial

Quick CLIP Guided Diffusion Fast CLIP/Guided Diffusion image generation • by Katherine Crowson, Daniel Russell, et al.

S2ML Art Generator by Justin Bennington

Zoetrope 5.5 CLIP-VQGAN tool by bearsharktopus

Texture Synthesis

Neural Cellular Automata by Alex Mordvitsev

Texturize: Grass DemoDemo Video

Texturize: Gravel Demo

TwinGAN

TwinGAN by Manuel Romero

Unpaired Image to Image Translation

CUT by Derrick Schultz

CycleGAN by Tensorflow

MUNIT by Derrick Schultz

StarGAN v2 PyTorch

ML Text Colabs

GPT-2

GPT-2 by Martin Woolf

ML Audio Colabs

Magenta

Generating Piano Music with Transformer by Magenta

Jukebox

Sampling and Co-Composing with Prompts by Anthony Matos

Music Source Separation

DemucsDemo video by Lia Coleman

Open Unmix

Other Helpful Repositories

dl-colab-notebooks by Erdene-Ochir Tuguldur

shared_colab_notebooks by Manuel Romero

Owner
Derrick Schultz (he/him)
Artists who uses code. Most of this stuff isn’t production level—I’m an artist first, programmer second.
Derrick Schultz (he/him)
This repository provides an efficient PyTorch-based library for training deep models.

s3sec Test AWS S3 buckets for read/write/delete access This tool was developed to quickly test a list of s3 buckets for public read, write and delete

Bytedance Inc. 123 Jan 05, 2023
The codes I made while I practiced various TensorFlow examples

TensorFlow_Exercises The codes I made while I practiced various TensorFlow examples About the codes I didn't create these codes by myself, but re-crea

Terry Taewoong Um 614 Dec 08, 2022
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields.

This repository contains the code release for Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. This implementation is written in JAX, and is a fork of Google's JaxNeRF

Google 625 Dec 30, 2022
Pytorch implementation of Integrating Tree Path in Transformer for Code Representation

This is an official Pytorch implementation of the approaches proposed in: Han Peng, Ge Li, Wenhan Wang, Yunfei Zhao, Zhi Jin “Integrating Tree Path in

Han Peng 16 Dec 23, 2022
Probabilistic-Monocular-3D-Human-Pose-Estimation-with-Normalizing-Flows

Probabilistic-Monocular-3D-Human-Pose-Estimation-with-Normalizing-Flows This is the official implementation of the ICCV 2021 Paper "Probabilistic Mono

62 Nov 23, 2022
Agent-based model simulator for air quality and pandemic risk assessment in architectural spaces

Agent-based model simulation for air quality and pandemic risk assessment in architectural spaces. User Guide archABM is a fast and open source agent-

Vicomtech 10 Dec 05, 2022
The Noise Contrastive Estimation for softmax output written in Pytorch

An NCE implementation in pytorch About NCE Noise Contrastive Estimation (NCE) is an approximation method that is used to work around the huge computat

Kaiyu Shi 287 Nov 25, 2022
TensorFlow implementation of PHM (Parameterization of Hypercomplex Multiplication)

Parameterization of Hypercomplex Multiplications (PHM) This repository contains the TensorFlow implementation of PHM (Parameterization of Hypercomplex

Aston Zhang 9 Oct 26, 2022
The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question IntentionClassification Benchmark for Text-to-SQL"

TriageSQL The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text

Yusen Zhang 22 Nov 09, 2022
CVPR2021 Workshop - HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization.

HDRUNet [Paper Link] HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization By Xiangyu Chen, Yihao Liu, Zhengwen Zhang, Yu Qiao an

XyChen 105 Dec 20, 2022
Tools for manipulating UVs in the Blender viewport.

UV Tool Suite for Blender A set of tools to make editing UVs easier in Blender. These tools can be accessed wither through the Kitfox - UV panel on th

35 Oct 29, 2022
Deep Crop Rotation

Deep Crop Rotation Paper (to come very soon!) We propose a deep learning approach to modelling both inter- and intra-annual patterns for parcel classi

Félix Quinton 5 Sep 23, 2022
The implementation for paper Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets.

Joint t-sne This is the implementation for paper Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets. abstract: We present Jo

IDEAS Lab 7 Dec 18, 2022
Image restoration with neural networks but without learning.

Warning! The optimization may not converge on some GPUs. We've personally experienced issues on Tesla V100 and P40 GPUs. When running the code, make s

Dmitry Ulyanov 7.4k Jan 01, 2023
SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement

SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement This repository implements the approach described in SporeAgent: Reinforced

Dominik Bauer 5 Jan 02, 2023
Implementation of the state of the art beat-detection, downbeat-detection and tempo-estimation model

The ISMIR 2020 Beat Detection, Downbeat Detection and Tempo Estimation Model Implementation. This is an implementation in TensorFlow to implement the

Koen van den Brink 1 Nov 12, 2021
A fuzzing framework for SMT solvers

yinyang A fuzzing framework for SMT solvers. Given a set of seed SMT formulas, yinyang generates mutant formulas to stress-test SMT solvers. yinyang c

Project Yin-Yang for SMT Solver Testing 145 Jan 04, 2023
Model Serving Made Easy

The easiest way to build Machine Learning APIs BentoML makes moving trained ML models to production easy: Package models trained with any ML framework

BentoML 4.4k Jan 08, 2023
Semantic Segmentation for Aerial Imagery using Convolutional Neural Network

This repo has been deprecated because whole things are re-implemented by using Chainer and I did refactoring for many codes. So please check this newe

Shunta Saito 27 Sep 23, 2022
NBEATSx: Neural basis expansion analysis with exogenous variables

NBEATSx: Neural basis expansion analysis with exogenous variables We extend the NBEATS model to incorporate exogenous factors. The resulting method, c

Cristian Challu 100 Dec 31, 2022