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)
Deep learning for spiking neural networks

A deep learning library for spiking neural networks. Norse aims to exploit the advantages of bio-inspired neural components, which are sparse and even

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Repository for training material for the 2022 SDSC HPC/CI User Training Course

hpc-training-2022 Repository for training material for the 2022 SDSC HPC/CI Training Series HPC/CI Training Series home https://www.sdsc.edu/event_ite

sdsc-hpc-training-org 21 Jul 27, 2022
Count GitHub Stars ⭐

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Ultralytics 20 Nov 20, 2022
A project for developing transformer-based models for clinical relation extraction

Clinical Relation Extration with Transformers Aim This package is developed for researchers easily to use state-of-the-art transformers models for ext

uf-hobi-informatics-lab 101 Dec 19, 2022
Kaggle Feedback Prize - Evaluating Student Writing 15th solution

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Lingyuan Zhang 6 Mar 24, 2022
NALSM: Neuron-Astrocyte Liquid State Machine

NALSM: Neuron-Astrocyte Liquid State Machine This package is a Tensorflow implementation of the Neuron-Astrocyte Liquid State Machine (NALSM) that int

Computational Brain Lab 4 Nov 28, 2022
Hi Guys, here I am providing examples, which will help you in Lerarning Python

LearningPython Hi guys, here I am trying to include as many practice examples of Python Language, as i Myself learn, and hope these will help you in t

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Used to record WKU's utility bills on a regular basis.

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2 Jul 21, 2022
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs SMORE is a a versatile framework that scales multi-hop query emb

Google Research 135 Dec 27, 2022
Hard cater examples from Hopper ICLR paper

CATER-h Honglu Zhou*, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf (*Contact: honglu.zhou

NECLA ML Group 6 May 11, 2021
git《Investigating Loss Functions for Extreme Super-Resolution》(CVPR 2020) GitHub:

Investigating Loss Functions for Extreme Super-Resolution NTIRE 2020 Perceptual Extreme Super-Resolution Submission. Our method ranked first and secon

Sejong Yang 0 Oct 17, 2022
Sample Code for "Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL"

Sample Code for "Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL" This is the official codebase for Pessimism Meets I

3 Sep 19, 2022
Sequential GCN for Active Learning

Sequential GCN for Active Learning Please cite if using the code: Link to paper. Requirements: python 3.6+ torch 1.0+ pip libraries: tqdm, sklearn, sc

45 Dec 26, 2022
Run object detection model on the Raspberry Pi

Using TensorFlow Lite with Python is great for embedded devices based on Linux, such as Raspberry Pi.

Dimitri Yanovsky 6 Oct 08, 2022
Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch

Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch; pre-processing and post-processing using numpy instead of pytroch.

炼丹去了 21 Dec 12, 2022
Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

Self-Supervised Pillar Motion Learning for Autonomous Driving Chenxu Luo, Xiaodong Yang, Alan Yuille Self-Supervised Pillar Motion Learning for Autono

QCraft 101 Dec 05, 2022
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Yihui He 1k Jan 03, 2023
Gym Threat Defense

Gym Threat Defense The Threat Defense environment is an OpenAI Gym implementation of the environment defined as the toy example in Optimal Defense Pol

Hampus Ramström 5 Dec 08, 2022
This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.

Skeleton Aware Multi-modal Sign Language Recognition By Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li and Yun Fu. Smile Lab @ Northeastern

Isen (Songyao Jiang) 128 Dec 08, 2022
Ros2-voiceroid2 - ROS2 wrapper package of VOICEROID2

ros2_voiceroid2 ROS2 wrapper package of VOICEROID2 Windows Only Installation Ins

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