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)
Implementation for the EMNLP 2021 paper "Interactive Machine Comprehension with Dynamic Knowledge Graphs".

Interactive Machine Comprehension with Dynamic Knowledge Graphs Implementation for the EMNLP 2021 paper. Dependencies apt-get -y update apt-get instal

Xingdi (Eric) Yuan 19 Aug 23, 2022
Pansharpening by convolutional neural networks in the full resolution framework

Z-PNN: Zoom Pansharpening Neural Network Pansharpening by convolutional neural networks in the full resolution framework is a deep learning method for

20 Nov 24, 2022
Contains modeling practice materials and homework for the Computational Neuroscience course at Okinawa Institute of Science and Technology

A310 Computational Neuroscience - Okinawa Institute of Science and Technology, 2022 This repository contains modeling practice materials and homework

Sungho Hong 1 Jan 24, 2022
Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness

FL Analysis This repository contains the code and results for the paper "Towards Understanding Quality Challenges of the Federated Learning: A First L

3 Oct 17, 2022
Reinforcement learning for self-driving in a 3D simulation

SelfDrive_AI Reinforcement learning for self-driving in a 3D simulation (Created using UNITY-3D) 1. Requirements for the SelfDrive_AI Gym You need Pyt

Surajit Saikia 17 Dec 14, 2021
PyElecCL - Electron Monte Carlo Second Checks

PyElecCL Python program to perform second checks for electron Monte Carlo radiat

Reese Haywood 3 Feb 22, 2022
COCO Style Dataset Generator GUI

A simple GUI-based COCO-style JSON Polygon masks' annotation tool to facilitate quick and efficient crowd-sourced generation of annotation masks and bounding boxes. Optionally, one could choose to us

Hans Krupakar 142 Dec 09, 2022
This is the reference implementation for "Coresets via Bilevel Optimization for Continual Learning and Streaming"

Coresets via Bilevel Optimization This is the reference implementation for "Coresets via Bilevel Optimization for Continual Learning and Streaming" ht

Zalán Borsos 51 Dec 30, 2022
Kaggle-titanic - A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

Kaggle-titanic This is a tutorial in an IPython Notebook for the Kaggle competition, Titanic Machine Learning From Disaster. The goal of this reposito

Andrew Conti 800 Dec 15, 2022
Automatic Differentiation Multipole Moment Molecular Forcefield

Automatic Differentiation Multipole Moment Molecular Forcefield Performance notes On a single gpu, using waterbox_31ang.pdb example from MPIDplugin wh

4 Jan 07, 2022
Official repository for the ICCV 2021 paper: UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model.

UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model Official repository for the ICCV 2021 paper: UltraPose: Syn

MomoAILab 92 Dec 21, 2022
Python scripts for performing lane detection using the LSTR model in ONNX

ONNX LSTR Lane Detection Python scripts for performing lane detection using the Lane Shape Prediction with Transformers (LSTR) model in ONNX. Requirem

Ibai Gorordo 29 Aug 30, 2022
Streaming over lightweight data transformations

Description Data augmentation libarary for Deep Learning, which supports images, segmentation masks, labels and keypoints. Furthermore, SOLT is fast a

Research Unit of Medical Imaging, Physics and Technology 256 Jan 08, 2023
Contrastive Learning for Metagenomic Binning

CLMB A simple framework for CLMB - a novel deep Contrastive Learningfor Metagenomic Binning Created by Pengfei Zhang, senior of Department of Computer

1 Sep 14, 2022
EASY - Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.

EASY - Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients. This repository is the official im

Yassir BENDOU 57 Dec 26, 2022
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles

GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles This repository contains a method to generate 3D conformer ensembles direct

127 Dec 20, 2022
QuakeLabeler is a Python package to create and manage your seismic training data, processes, and visualization in a single place — so you can focus on building the next big thing.

QuakeLabeler Quake Labeler was born from the need for seismologists and developers who are not AI specialists to easily, quickly, and independently bu

Hao Mai 15 Nov 04, 2022
Code for 2021 NeurIPS --- Towards Multi-Grained Explainability for Graph Neural Networks

ReFine: Multi-Grained Explainability for GNNs This is the official code for Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 20

Shirley (Ying-Xin) Wu 47 Dec 16, 2022
Python framework for Stochastic Differential Equations modeling

SDElearn: a Python package for SDE modeling This package implements functionalities for working with Stochastic Differential Equations models (SDEs fo

4 May 10, 2022