https://github.com/dvschultz/ml-art-colabs
A list of Machine Learning Art Colabs
https://github.com/dvschultz/ml-art-colabs
Last synced: about 2 months ago
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A list of Machine Learning Art Colabs
- Host: GitHub
- URL: https://github.com/dvschultz/ml-art-colabs
- Owner: dvschultz
- Created: 2020-03-14T05:43:55.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2022-02-21T04:08:14.000Z (over 3 years ago)
- Last Synced: 2024-08-04T02:09:49.258Z (11 months ago)
- Language: Jupyter Notebook
- Size: 53.5 MB
- Stars: 828
- Watchers: 39
- Forks: 138
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-generative-ai - dvschultz/ml-art-colabs
README
# ML Visual Art Colabs
A list of cool Colabs on Machine Learning Imagemaking or other artistic purposes
## 3D Ken Burns Effect
[**Ken Burns Effect**](https://github.com/dvschultz/ml-art-colabs/blob/master/3D_Ken_Burns_multiple.ipynb) by [Manuel Romero](https://github.com/mrm8488/) • [Demo Video](https://youtu.be/DYsfitr-FdY) by Lia Coleman
## 3D Photo Inpainting
[**3D Photography using Context-aware Layered Depth Inpainting**](https://github.com/dvschultz/ml-art-colabs/blob/master/3D_Photo_Inpainting.ipynb) • [Demo Video](https://youtu.be/y3noI8fquLo)
## BigBiGAN
[**BigBiGAN**](https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/bigbigan_with_tf_hub.ipynb) by Tensorflow
## BigGan
[**BigGan**](https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/biggan_generation_with_tf_hub.ipynb) by Tensorflow
## Colorization
[**Image Colorizer**](https://colab.research.google.com/github/jantic/DeOldify/blob/master/ImageColorizerColab.ipynb) by DeOldify
[**Video Colorizer**](https://colab.research.google.com/github/jantic/DeOldify/blob/master/VideoColorizerColab.ipynb) by DeOldify
[**Coltran**](https://github.com/dvschultz/ml-art-colabs/blob/master/Coltran.ipynb) by Google Brain
## DCGAN
[**TF-GAN on TPUs**](https://colab.research.google.com/github/tensorflow/gan/blob/master/tensorflow_gan/examples/colab_notebooks/tfgan_on_tpus.ipynb) by Tensorflow
## DeepDream
[**DeepDream**](https://github.com/dvschultz/ml-art-colabs/blob/master/deepdream.ipynb) by Alex Mordvintsev • [Demo Video](https://www.youtube.com/watch?v=MvOI_u0khTs&list=PLWuCzxqIpJs9aFmKVP2I9_Y_23BcGk8ZE&index=5)
[**Minimal DeepDream Implementation**](https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/generative/deepdream.ipynb) by Tensorflow
## First Order Motion Model
[**First Order Motion**](https://colab.research.google.com/github/AliaksandrSiarohin/first-order-model/blob/master/demo.ipynb#scrollTo=UCMFMJV7K-ag) by [Aliaksandr Siarohin](https://github.com/AliaksandrSiarohin)
## FUNIT
[**FUNIT**](https://colab.research.google.com/github/shaoanlu/fewshot-face-translation-GAN/blob/master/colab_demo.ipynb#scrollTo=2gvoYSeCoghg) by shaoanlu
## Image/Data Processing
[**Process WikiArt Dataset**](https://github.com/pbaylies/stylegan2/blob/master/Process%20WikiArt%20Dataset.ipynb) by Peter Baylies
## Image Generators
[**Looking Glass 1.1**](https://colab.research.google.com/drive/11vdS9dpcZz2Q2efkOjcwyax4oob6N40G) by [bearsharktopus](https://www.patreon.com/bearsharktopus) • [Tutorial](https://youtu.be/37_Zjreghw4)
[**Image-GPT**](https://gist.github.com/JonathanFly/eb61f0d31680e1b890f3a53fbaf31384) by [Jonathan Fly](https://gist.github.com/JonathanFly)
## Lucid
Lucid visualizes the networks of many convolutional neural nets
[**Lucid**](https://colab.research.google.com/github/tensorflow/lucid/blob/master/notebooks/tutorial.ipynb)
[**Lucent**](https://colab.research.google.com/github/greentfrapp/lucent/blob/master/notebooks/tutorial.ipynb) - Lucent is a PyTorch variation of Lucid.
## Next Frame Prediction
[**Next Frame Prediction with Pix2PixHD**](https://github.com/dvschultz/ml-art-colabs/blob/master/Pix2PixHD_Next_Frame_Prediction.ipynb) • [Training Demo Video](https://www.youtube.com/watch?v=Gry1J3JhTP0) • [Video Generation Demo](https://youtu.be/pqVkLaBnTKI)
## Object Detection
[**YOLO-v5**](https://colab.research.google.com/drive/1gDZ2xcTOgR39tGGs-EZ6i3RTs16wmzZQ) by Ultralytics
## Object Mask Generation
[**U Square Net**](https://github.com/dvschultz/ai/blob/master/U_2_Net.ipynb) by Derrick Schultz
## Shape Matching GAN
[**Shape Matching GAN**](https://github.com/dvschultz/ShapeMatchingGAN/blob/master/ShapeMatchingGAN.ipynb) by Derrick Schultz
## SinGAN
[**SinGAN**](https://github.com/dvschultz/ai/blob/master/SinGAN.ipynb) by Derrick Schultz • [Demo Video](https://youtu.be/ukGmnVuYL84)
[**SinGAN Distortions**](https://github.com/dvschultz/ml-art-colabs/blob/master/SinGAN_distortions.ipynb) by [duskvirkus](https://github.com/duskvirkus), inspired by the [Yuma Kishi's Studies of Collage of Paintings for Humanity](https://obake2ai.com/studies-of-collage-of-paintings-for-humanity)
## StyleGAN
[**Flesh Digressions**](https://github.com/dvschultz/ml-art-colabs/blob/master/flesh_digressions.ipynb) Loops of the constant and style layers • [Demo Video](https://www.youtube.com/watch?v=zRN1kP_lBY8)
[**GanSpace**](https://github.com/dvschultz/Make-ML-Art-with-Google-Colab/blob/master/Ganspace_S2DD.ipynb) Feature detection using PCA • [Demo Video](https://youtu.be/fCI3wX38Ong?t=1340)
[**Barycentric Cross-Network Interpolation with different layer interpolation rates**](https://colab.research.google.com/drive/1FwOYqtU0kVYDwHrddFKBhDKcs0jJ_zuK?usp=sharing) by [@arfafax](https://github.com/arfafax/)
[**Network Bending**](https://github.com/dvschultz/ml-art-colabs/blob/master/Network_Bending_Static_Images.ipynb) • [Demo Video](https://www.youtube.com/watch?v=pSo-aLWTn14)
[**Network Blending**](https://colab.research.google.com/drive/1tputbmA9EaXs9HL9iO21g7xN7jz_Xrko?usp=sharing) by [Justin Pinkney](https://github.com/justinpinkney/) • [Demo Video](https://youtu.be/K5Tu-XHwaAo)
[**StyleGAN Paintings (StyleGAN1)**](https://colab.research.google.com/drive/1cFKK0CBnev2BF8z9BOHxePk7E-f7TtUi)
[**StyleGAN Encoder Tutorial**](https://github.com/pbaylies/stylegan2/blob/master/StyleGAN_Encoder_Tutorial.ipynb) by Peter Baylies
[**StyleGAN2**](https://github.com/dvschultz/ai/blob/master/StyleGAN2.ipynb) by Derrick Schultz
[**StyleGAN2**](https://colab.research.google.com/drive/1ShgW6wohEFQtqs_znMna3dzrcVoABKIH) by Mikael Christensen
[**SWA Playground**](https://github.com/dvschultz/ai/blob/master/SWA_playground.ipynb) by [@arfafax](https://github.com/arfafax/StyleGAN2_experiments/blob/master/StyleGAN2%20Network%20Interpolation.ipynb)
[**WikiArt Example Generation**](https://github.com/pbaylies/stylegan2/blob/master/WikiArt%20Example%20Generation.ipynb) Peter Baylies
[**StyleGAN2 Activations and PCA Projection**](https://github.com/dvschultz/ml-art-colabs/blob/master/StyleGAN2_activations_and_pca_projection.ipynb) by duskvirkus, Look at lower network levels of SG2 generator.
## Style Transfer
[**Lucid 2D Style Transfer**](https://colab.research.google.com/github/tensorflow/lucid/blob/master/notebooks/differentiable-parameterizations/style_transfer_2d.ipynb) by Google
[**Neural Style TF**](https://github.com/dvschultz/ai/blob/master/neural_style_tf.ipynb) by Derrick Schultz • [Demo Video](https://youtu.be/YyB5yzbZuc8?t=1183)
## Superresolution
[**ESRGAN**](https://github.com/dvschultz/ESRGAN/blob/master/ESRGAN.ipynb) by Derrick Schultz
[**Image Superresolution**](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/ISR_Prediction_Tutorial.ipynb) by [Erdene-Ochir Tuguldur](https://github.com/tugstugi)
[**SRFBN**](https://github.com/dvschultz/SRFBN_CVPR19/blob/master/SRFBN.ipynb) by Derrick Schultz
[**SR Zoo**](https://github.com/dvschultz/ai/blob/master/Super_Resolution_Zoo.ipynb) ported to Colab by Derrick Schultz
## Slow Motion
[**FILM**](https://colab.research.google.com/drive/1sK0uc-GJxmdnaxHhYqD2afRknakpdTNZ) modified by Derrick Schultz from a notebook by тоже моушн
[**RIFE**](https://github.com/dvschultz/ml-art-colabs/blob/master/RIFE.ipynb) by Derrick Schultz (modified from [Towards Data Science article](https://towardsdatascience.com/high-quality-slow-motion-videos-in-5-minutes-with-deep-learning-1ed526665ef))
[**Super Slomo**](https://colab.research.google.com/github/tugstugi/dl-colab-notebooks/blob/master/notebooks/SuperSloMo.ipynb) by [Erdene-Ochir Tuguldur](https://github.com/tugstugi)
## Text-to-Image Generation
[**Aphantasia**](https://colab.research.google.com/github/eps696/aphantasia/blob/master/Aphantasia.ipynb) by [Vadim Epstein](https://github.com/eps696) • [Tutorial](https://youtu.be/-FrIui8Mp-8)
[**Attn-GAN**](https://github.com/dvschultz/ml-art-colabs/blob/master/attn_gan.ipynb) The OG text-to-image generator • notebook by Derrick Schultz
[**Big Sleep**](https://github.com/dvschultz/ml-art-colabs/blob/master/The_Big_Sleep_BigGANxCLIP.ipynb) (BigGAN controlled by CLIP) by Ryan Murdock • [Demo Video](https://www.youtube.com/watch?v=_TIQtr8gNJQ&list=PLWuCzxqIpJs9aFmKVP2I9_Y_23BcGk8ZE&index=28)
[**Disco Diffusion 4.1**](https://colab.research.google.com/drive/1sHfRn5Y0YKYKi1k-ifUSBFRNJ8_1sa39) by [SOMNAI](https://twitter.com/Somnai_dreams) • [Demo/Tutorial](https://youtu.be/Dx2G940Pao8)
[**IllusTrip**](https://colab.research.google.com/github/eps696/aphantasia/blob/master/IllusTrip3D.ipynb) by [Vadim Epstein](https://github.com/eps696) • [Tutorial](https://youtu.be/KTyLfDf6lRs)
[**Quick CLIP Guided Diffusion**](https://colab.research.google.com/drive/1FuOobQOmDJuG7rGsMWfQa883A9r4HxEO?usp=sharing) Fast CLIP/Guided Diffusion image generation • by [Katherine Crowson](https://github.com/crowsonkb), [Daniel Russell](https://github.com/russelldc), et al.
[**S2ML Art Generator**](https://github.com/justin-bennington/S2ML-Art-Generator/blob/main/S2ML_Art_Generator.ipynb) by [Justin Bennington](https://github.com/justin-bennington)
[**Zoetrope 5.5**](https://colab.research.google.com/drive/1gkFHVBnmGMqUOvWd7Ua6dyHM7_ViwITP) CLIP-VQGAN tool by [bearsharktopus](https://www.patreon.com/bearsharktopus)
## Texture Synthesis
[**Neural Cellular Automata**](https://colab.research.google.com/github/google-research/self-organising-systems/blob/master/notebooks/texture_nca_tf2.ipynb) by Alex Mordvitsev
[**Texturize: Grass Demo**](https://github.com/photogeniq/texturize/blob/master/examples/Demo_Grass.ipynb) • [Demo Video](https://youtu.be/tRHhZQ46XUU)
[**Texturize: Gravel Demo**](https://github.com/photogeniq/texturize/blob/master/examples/Demo_Gravel.ipynb)
## TwinGAN
[**TwinGAN**](https://colab.research.google.com/github/mrm8488/shared_colab_notebooks/blob/master/TWINGAN_manu.ipynb) by [Manuel Romero](https://github.com/mrm8488/)
## Unpaired Image to Image Translation
[**CUT**](https://github.com/dvschultz/ml-art-colabs/blob/master/CUT.ipynb) by Derrick Schultz
[**CycleGAN**](https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/generative/cyclegan.ipynb#scrollTo=ITZuApL56Mny) by Tensorflow
[**MUNIT**](https://github.com/dvschultz/MUNIT/blob/master/MUNIT.ipynb) by Derrick Schultz
[**StarGAN v2 PyTorch**](https://github.com/dvschultz/ml-art-colabs/blob/master/StarGAN_v2_pytorch.ipynb)
# ML Text Colabs
## GPT-2
[**GPT-2**](https://colab.research.google.com/drive/1VLG8e7YSEwypxU-noRNhsv5dW4NfTGce) by [Martin Woolf](https://minimaxir.com/)
# ML Audio Colabs
## Magenta
[**Generating Piano Music with Transformer**](https://colab.research.google.com/notebooks/magenta/piano_transformer/piano_transformer.ipynb#scrollTo=QI5g-x4foZls) by Magenta
## Jukebox
[**Sampling and Co-Composing with Prompts**](https://colab.research.google.com/github/anlexmatos/jukebox/blob/master/jukebox/Interacting_with_Jukebox.ipynb) by [Anthony Matos](https://github.com/anlexmatos)
## Music Source Separation
[**Demucs**](https://github.com/dvschultz/ml-art-colabs/blob/master/Demucs.ipynb) • [Demo video](https://youtu.be/tHxsqFcx7gw) by Lia Coleman
[**Open Unmix**](https://colab.research.google.com/drive/1mijF0zGWxN-KaxTnd0q6hayAlrID5fEQ)
# Other Helpful Repositories
[**dl-colab-notebooks**](https://github.com/tugstugi/dl-colab-notebooks) by [Erdene-Ochir Tuguldur](https://github.com/tugstugi)
[**shared_colab_notebooks**](https://github.com/mrm8488/shared_colab_notebooks) by [Manuel Romero](https://github.com/mrm8488/)