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Autoencoders: https://colab.research.google.com/github/zaidalyafeai/Notebooks/blob/master/AutoEncoders.ipynb
Colorization:
https://demos.algorithmia.com/colorize-photos
https://www.myheritage.co.il/incolor
https://colab.research.google.com/github/jantic/DeOldify/blob/master/ImageColorizerColab.ipynb
https://colab.research.google.com/github/jantic/DeOldify/blob/master/ImageColorizerColabStable.ipynb
https://colab.research.google.com/github/jantic/DeOldify/blob/master/VideoColorizerColab.ipynb
https://colab.research.google.com/drive/1Y1XTlTdUG-2LzrH1Vnr_osg9BQavfYsz (exemplar based)
https://github.com/msracver/Deep-Exemplar-based-Colorization (window .exe, exemplar based)
Review of more: https://www.youtube.com/watch?v=mUXpxxyThr8
https://colab.research.google.com/github/pvitoria/ChromaGAN/blob/master/DemoChromaGAN.ipynb
Jukebox:
Super-resolution and image enhancement:
(video!) https://colab.research.google.com/drive/1dxYc6BBtUwOaIl6YHgHsoORel-8nhJNP
https://colab.research.google.com/github/tg-bomze/DFDNet/blob/whole/DFDNet_Colab.ipynb
ISR Prediction Tutorial.ipynb - Colaboratoryhttps://colab.research.google.com/github/tg-bomze/DFDNet/blob/whole/DFDNet_Colab_Eng.ipynb
Blind face restoration (and colorization)
https://colab.research.google.com/drive/1sVsoBd9AjckIXThgtZhGrHRfFI6UUYOo
https://colab.research.google.com/github/bycloudai/GPEN-colab/blob/main/GPEN.ipynb
Photo restoration:
https://colab.research.google.com/drive/1NEm6AsybIiC5TwTU_4DqDkQO0nFRB-uA
Destroy and recover : https://colab.research.google.com/github/tg-bomze/collection-of-notebooks/blob/master/Destroy_n_Recover.ipynb
Single shot denoising:
https://colab.research.google.com/github/DmitryUlyanov/deep-image-prior/blob/master/denoising.ipynb
deepSVG: https://github.com/alexandre01/deepsvg/blob/master/notebooks
Inpainting: https://www.nvidia.com/research/inpainting/
Image completion: https://colab.research.google.com/github/google/trax/blob/master/trax/models/reformer/image_generation.ipynb (reformer)
Image generation with gradient origin networks:
Image generation with AI2 X-LXMERT
https://vision-explorer.allenai.org/text_to_image_generation
Text to Image:
Lexica (CLIP search)
AUTOMATIC1111 (StableDiffusion fork)
Synesthetic (StableDiffusion generator)
Body segmentation: https://storage.googleapis.com/tfjs-models/demos/body-pix/index.html
Deep dream:
https://deepdreamgenerator.com
https://colab.research.google.com/drive/1WWpJ3gzUOBThdXwqsrF0b3uCmr6o0Q4G
Style Transfer:
https://reiinakano.github.io/arbitrary-image-stylization-tfjs/
https://deepdreamgenerator.com
https://www.instapainting.com/assets
http://ostagram.me/static_pages/lenta?last_days=1000&locale=en
https://zaidalyafeai.github.io/WST/
https://colab.research.google.com/drive/1aAUevMar82TEIVZkTHvPnRiC1xpixrvA
https://github.com/EugenHotaj/nn-hallucinations/blob/master/style_transfer.ipynb
https://colab.research.google.com/drive/1JshOp4J7bdIpvJZplZ--wwaisSBUx9tF (MUNIT)
Style harmonization:
https://j.mp/deepharm (deep painterly harmonization colab)
Cyclegan
https://www.kaggle.com/amyjang/monet-cyclegan-tutorial
StyleGAN:
https://colab.research.google.com/gist/kylemcdonald/7920a7329518a54f59f2a237aca92529/stylegan.ipynb
https://colab.research.google.com/drive/1cFKK0CBnev2BF8z9BOHxePk7E-f7TtUi
https://github.com/Norod/my-colab-experiments/blob/master/fun_with_stylegan.ipynb
https://github.com/Norod/my-colab-experiments/blob/master/fun_with_stylegan2_ffhq.ipynb
https://github.com/Puzer/stylegan-encoder
https://colab.research.google.com/github/ak9250/stylegan2/blob/master/stylegan2colab.ipynb
https://github.com/parthsuresh/stylegan2-colab/blob/master/StyleGAN2_Google_Colab.ipynb
https://colab.research.google.com/github/Norod/my-colab-experiments/blob/master/fun_with_stylegan2_furries.ipynb (truncation animation)
https://colab.research.google.com/drive/1_LIu91bFGCeeLPnuT8A669BYbtz0nwFI
https://github.com/dvschultz/ai/blob/master/StyleGAN2_AudioReactive.ipynb (reactive audio!)
https://colab.research.google.com/github/Norod/my-colab-experiments/blob/master/EvgenyKashin_Animal_conditional_generation.ipynb (animal morph, for model trained with labels)
https://colab.research.google.com/gist/zsyzzsoft/5fbb71b9bf9a3217576bebae5de46fc2/data-efficient-gans.ipynb (diffaugment; training with very small data)
https://colab.research.google.com/drive/1tputbmA9EaXs9HL9iO21g7xN7jz_Xrko (layer blending)
https://colab.research.google.com/drive/1s2XPNMwf6HDhrJ1FMwlW1jl-eQ2-_tlk (toonify yourself)
https://colab.research.google.com/github/eps696/stylegan2/blob/master/StyleGAN2_colab.ipynb
https://colab.research.google.com/github/eps696/stylegan2ada/blob/master/StyleGAN2a_colab.ipynb
https://colab.research.google.com/github/tg-bomze/BabyGAN/blob/master/BabyGAN_(ENG).ipynb
https://colab.research.google.com/github/davidbau/rewriting/blob/master/notebooks/rewriting-interface.ipynb (network rewriting)
https://colab.research.google.com/drive/1RGzHLEINqylBo_b8NwUqFyNDOODgSGEt (editing latent direction)
https://colab.research.google.com/github/genforce/sefa/blob/master/docs/SeFa.ipynb (sefa latent editing)
Pre-trained stylegan models:
https://github.com/justinpinkney/awesome-pretrained-stylegan
https://github.com/justinpinkney/awesome-pretrained-stylegan2
https://colab.research.google.com/drive/1ytdR30L7uXLaG_4Iph331o70wZWA-bkd (genforce; pggan+stylegan+...)
https://colab.research.google.com/github/zaidalyafeai/gan-mosaics/blob/main/mosaic_demo.ipynb (islam mosaics)
https://colab.research.google.com/drive/1oxcJ1tbG77hlggdKd_d8h22nBcIZsLTL (this anime does not exist)
https://colab.research.google.com/drive/1Lg-noMq7DDpHcihQ8tCfNi0HKJOtfNtn (anime editor)
https://colab.research.google.com/github/Norod/my-colab-experiments/blob/master/MuppetFaces_SG2_ADA_Unconditional.ipynb (muppets by doron adler)
https://colab.research.google.com/github/yuval-alaluf/restyle-encoder/blob/master/notebooks/inference_playground.ipynb (e.g. toonification)
https://colab.research.google.com/github/eladrich/pixel2style2pixel/blob/master/notebooks/inference_playground.ipynb (pixel2style2pixel)
https://colab.research.google.com/github/omertov/encoder4editing/blob/main/notebooks/inference_playground.ipynb (fast stylegan encoder and editing)
https://colab.research.google.com/github/yuval-alaluf/SAM/blob/master/notebooks/inference_playground.ipynb (SAM age transformation)
https://colab.research.google.com/github/yuval-alaluf/SAM/blob/master/notebooks/animation_inference_playground.ipynb (SAM age transformation)
Taming transformers: Landscape generation, faces
Penis generator (NSFW)
https://colab.research.google.com/drive/1DoCxr2pYlxCRv6RmITtFWahVXsbTexYp
https://colab.research.google.com/drive/1-SDjR6ztiExBRmf5xzspNsA5t8y3kEXk
Keras face toolbox (landmarks, parsing segmentation including hair, iris, face verification, gender, age:
https://colab.research.google.com/github/eyaler/face_toolbox_keras/blob/master/demo.ipynb
Age transformation:
3d human reconstruction and motion capture
https://colab.research.google.com/drive/11z58bl3meSzo6kFqkahMa35G5jmh2Wgt (PIFuHD)
https://colab.research.google.com/github/cedro3/others/blob/master/PIFuHD_Demo.ipynb (pifuhd)
https://colab.research.google.com/drive/15qA6kbyVK--8q88FHXdzwPiGT0UyKvwg (frankmocap)
Green screen
https://colab.research.google.com/drive/1cTxFq1YuoJ5QPqaTcnskwlHDolnjBkB9 (requires clean background image)
https://colab.research.google.com/drive/1Y9zWfULc8-DDTSsCH-pX6Utw8skiJG5 (requires clean background image)s
https://colab.research.google.com/drive/1EaQ5h4u9Q_MmDSFTDmFG0ZOeSsFuRTsJ (Animal matting)
https://colab.research.google.com/drive/1Ut2szLBTxPejGHt_GYUkua21yUVWseOE (FBA matting)
https://colab.research.google.com/drive/1-BqXD3EzDY6PHRdwb3cWayk2KictbFaz?usp=sharin g (sky replacement )
j.mp/vid2green (video; u2net+modnet+portrait generation)
https://github.com/danielgatis/rembg (u2net)
https://github.com/ecsplendid/rembg-greenscreen (u2net video)
https://www.gradio.app/hub/aliabd/modnet
https://gradio.app/hub/AK391/U-2-Net
https://colab.research.google.com/drive/1GANpbKT06aEFiW-Ssx0DQnnEADcXwQG6 (modnet)
https://colab.research.google.com/drive/1Pt3KDSc2q7WxFvekCnCLD8P0gBEbxm6J (modnet - webcam)
https://colab.research.google.com/drive/10z-pNKRnVNsp0Lq9tH1J_XPZ7CBC_uHm (RVM)
Image to sketch:
https://face-lol.github.io/ (APdrawingGAN)
https://colab.research.google.com/github/vijishmadhavan/Light-Up/blob/master/ArtLine(AR).ipynb (quality)
https://colab.research.google.com/github/vijishmadhavan/Light-Up/blob/master/ArtLine.ipynb (smooth)
https://colab.research.google.com/github/cedro3/others/blob/master/ArtLine_make_gif.ipynb (artline video to gif)
j.mp/vid2green (u2net + video + blend)
Deep fakes:
https://colab.research.google.com/github/chervonij/DFL-Colab/blob/master/DFL_Colab.ipynb
terryky.github.io/tfjs_webgl_app/face_landmark (face swap from webcam)
https://j.mp/facemesh (face swap from webcam or video)
https://colab.research.google.com/github/neuralchen/SimSwap/blob/main/SimSwap%20colab.ipynb
https://colab.research.google.com/github/neuralchen/SimSwap/blob/main/MultiSpecific.ipynb
https://github.com/tg-bomze/collection-of-notebooks/blob/master/Simple_Face_Swapper.ipynb
Single image head avatars:
https://colab.research.google.com/github/AliaksandrSiarohin/first-order-model/blob/master/demo.ipynb (head reenactment with new GUI - fomm)
https://github.com/alievk/avatarify/wiki/Windows-App-(Beta)
https://j.mp/vid2head (head reenactment from video - fomm)
https://j.mp/cam2head (live head reenactment from webcam)
https://www.myheritage.co.il/deep-nostalgia
Full body puppeteering:
https://j.mp/vid2body (full body reenactment from video - fomm)
https://colab.research.google.com/github/svip-lab/impersonator/blob/master/impersonator.ipynb
https://j.mp/vid2act (full body reenactment from video - impersonator)
colab.research.google.com/drive/1bwUnj-9NnJA2EMr7eWO4I45UuBtKud_ (impersonator++)
https://j.mp/vid2warp (full body from video - impersonator++)
https://github.com/iPERDance/iPERCore/wiki/How-to-use-the-released-version-on-windows%3F (impersonator++ windows app)
pose-animator-demo.firebaseapp.com/camera.html
https://j.mp/mraa-body (full body from video - articulated animation)
Wav2lip / make it talk
https://colab.research.google.com/github/yzhou359/MakeItTalk/blob/main/quick_demo.ipynb
https://colab.research.google.com/github/yzhou359/MakeItTalk/blob/main/quick_demo_tdlr.ipynb
https://bhaasha.iiit.ac.in/lipsync/
https://colab.research.google.com/drive/1tZpDWXz49W6wDcTprANRGLo2D_EbD5J8
https://j.mp/wav2lip (lip syncing - animating lips in image or video from audio, optionally switching between speakers)
https://vo.codes (also has wav2lip interface)
Anime manipulation
https://colab.research.google.com/github/pkhungurn/talking-head-anime-2-demo/blob/master/colab.ipynb
Speech synthesis with celebrity voices
https://vo.codes (also has wav2lip interface)
Text to speech comparing different models: https://colab.research.google.com/github/NVIDIA/NeMo/blob/stable/tutorials/tts/1_TTS_inference.ipynb
Controllable talknet (e.g. mimic cartoon voices): https://colab.research.google.com/drive/1aj6Jk8cpRw7SsN3JSYCv57CrR6s0gYPB
Image generation and animation based on a single image
https://colab.research.google.com/github/dvschultz/ai/blob/master/SinGAN.ipynb
Deepnude
https://colab.research.google.com/gist/FirstDee/c3a94ff37e0561e597b65160aabbbc07/dreamtime-v1.ipynb
3d
https://colab.research.google.com/drive/1706ToQrkIZshRSJSHvZ1RuCiM__YX3Bz
https://colab.research.google.com/drive/1FcQibnjfp4mpn_WJiQlVBRJMkhSMZqbU
https://colab.research.google.com/drive/1iT5PfK7zl1quAOwC227GfBjieFMVHjI5 (semantic view synthesis)
Face depixelizer (pulse)
https://colab.research.google.com/github/ctawong/PULSE_from_image_url/blob/master/PULSE_URL.ipynb
Feature visualization:
https://github.com/tensorflow/lucid
Pix2Pix:
https://affinelayer.com/pixsrv/
https://zaidalyafeai.github.io/pix2pix/scene.html
https://zaidalyafeai.github.io/webcam-reconstruction/
https://colab.research.google.com/github/zaidalyafeai/Notebooks/blob/master/tf_pix2pix.ipynb
https://www.kaggle.com/norod78/sketch2pokemon-iterative-trainer
BigGAN:
https://colab.research.google.com/drive/1MhfEAOBwhGu1A-F2NSVxGQrkJ4vk7w4V
https://colab.research.google.com/github/zaidalyafeai/Notebooks/blob/master/BigGAN.ipynb
https://colab.research.google.com/github/zaidalyafeai/Notebooks/blob/master/BigGanEx.ipynb
https://colab.research.google.com/drive/1rqDwIddy0eunhhV8yrznG4SNiB5XWFJJ
Bigbigan (bigan encoder)
SIREN/FFT/Implicit
https://colab.research.google.com/github/vsitzmann/siren/blob/master/explore_siren.ipynb
https://colab.research.google.com/drive/1HSsQen6lXnPHEpQPzmCuD5zFKhtPdZAI (image/video)
https://colab.research.google.com/github/tancik/fourier-feature-networks/blob/master/Demo.ipynb
https://colab.research.google.com/github/tancik/learnit/blob/master/meta_demo.ipynb
CLIP zero shot image classification / object detection
https://colab.research.google.com/github/openai/CLIP/blob/main/notebooks/Interacting_with_CLIP.ipynb
https://colab.research.google.com/drive/1LXla2q9MCRRI_kTjpvag2Vz-7EGLnki5 (broken?)
https://colab.research.google.com/drive/1273xNBDcbc4XGjJnnB3V8YoYU9aIcBIB
CLIP
https://colab.research.google.com/drive/1FoHdqoqKntliaQKnMoNs3yn5EALqWtvP (siren + clip)
https://colab.research.google.com/drive/1K1vfpTEvAmxW2rnhAaALRVyis8EiLOnD (siren + clip)
https://colab.research.google.com/drive/1NCceX2mbiKOSlAd_o7IU7nA9UskKN5WR (biggan + clip)
https://colab.research.google.com/github/tg-bomze/collection-of-notebooks/blob/master/Text2Image_v2.ipynb (biggan + clip)
https://colab.research.google.com/drive/1MEWKbm-driRNF8PrU7ogS5o3se-ePyPb (biggan+clip using big-sleep library)
https://colab.research.google.com/drive/1jF8pyZ7uaNYbk9ZiVdxTOajkp8kbmkLK (biggan+clip story hallucinator)
j.mp/bigclip (biggan + clip)
j.mp/wanderclip (biggan + clip + cma-es)
https://colab.research.google.com/github/nagolinc/notebooks/blob/main/TADNE_and_CLIP.ipynb (stylegan2-ada anime+clip)
https://colab.research.google.com/github/nagolinc/notebooks/blob/main/CLIP_%2B_TADNE_(pytorch)_v2.ipynb (stylegan2-ada anime+clip)
https://colab.research.google.com/github/orpatashnik/StyleCLIP/blob/main/notebooks/optimization_playground.ipynbCLIP + TADNE (pytorch) v2 - Colaboratoryhttps://colab.research.google.com/github/nagolinc/notebooks/blob/main/CLIP_%2B_TADNE_(pytorch)_v2.ipynb
https://colab.research.google.com/github/eyaler/VectorAscent/blob/master/VectorAscent.ipynb (svg)
https://huggingface.co/spaces/akhaliq/VQGAN_CLIP
https://colab.research.google.com/github/rinongal/stylegan-nada/blob/main/stylegan_nada.ipynb
https://bit.ly/txt2im (CompVis Latent Diffusion Models)
CLIP based style analogies (see e.g. - https://twitter.com/RiversHaveWings/status/1478719186125811715):
https://colab.research.google.com/drive/19M9RFEgCmCVAF-h2KuNmPwgftPi_ZEp3
https://colab.research.google.com/drive/17AqhaKLZmmUA27aNSc6fJYMR9uypeIci
rudalle Text2Image (malevich v3 + emojich):
ruDalle Outpainting:
rudolph:
https://colab.research.google.com/drive/1gmTDA13u709OXiAeXWGm7sPixRhEJCga
Spade/Gaugan:
http://nvidia-research-mingyuliu.com/gaugan/
https://www.nvidia.com/en-us/studio/canvas/
animeGAN (video2anime): https://colab.research.google.com/github/tg-bomze/Video2Anime/blob/master/AnimeGan_Video_(Eng).ipynb
https://animegan.js.org/ (web demo for images)
https://colab.research.google.com/github/mchong6/GANsNRoses/blob/main/inference_colab.ipynb
https://gradio.app/hub/AK391/GANsNRoses
Audio style transfer:
https://sites.research.google/tonetransfer
https://colab.research.google.com/github/cifkao/ss-vq-vae/blob/main/experiments/colab_demo.ip ynb (timbre)
Word2Dream: https://eyalgruss.com/word2dream
Text generation
https://www.robinsloan.com/voyages-in-sentence-space/ (sentence interpolation)
https://cs.stanford.edu/people/karpathy/recurrentjs/
https://www.thisstorydoesnotexist.com/
https://colab.research.google.com/github/blade1780/bert/blob/master/Gpt-2.ipynb
https://colab.research.google.com/github/ilopezfr/gpt-2/blob/master/gpt-2-playground_.ipynb
https://colab.research.google.com/drive/1da54684tFMjPbR5idbvoCyjOoEGwIVwV
https://colab.research.google.com/drive/1VLG8e7YSEwypxU-noRNhsv5dW4NfTGce (including larger 345MB model)
https://talktotransformer.com/ (1.5GB model)
https://transformer.huggingface.co/
https://www.ai21.com/haim (conditional on suffix and number of words)
https://colab.research.google.com/drive/1hVveBQShDru1Mjnhe4C21uQv4A2eH1tV (ctrl)
https://colab.research.google.com/drive/1nDh3ayRPJGK5ciPO2D3TFkYZFqclBWHY (ctrl)
https://colab.research.google.com/github/google/trax/blob/master/trax/models/reformer/text_generation.ipynb (reformer with TPU training)
https://github.com/karpathy/minGPT/blob/master/play_char.ipynb (train minimal char gpt)
https://colab.research.google.com/github/EleutherAI/GPTNeo/blob/master/GPTNeo_example_notebook.ipynb
https://colab.research.google.com/github/EleutherAI/gpt-neo/blob/24aeaf9ef834884f590b0899c104793914bd6b31/GPTNeo_example_notebook.ipynb (community trained - requires large cloud storage)
Hebrew generation!
https://github.com/CiTRuS93/McNLP/blob/main/McNLP-build.ipynb (hebrew rap!)
j.mp/bertdemo - bert + hebrew + shirbert = hebrew poetry glitcher
Image captioning:
https://colab.research.google.com/github/saahiluppal/catr/blob/master/catr_demo.ipynb
https://colab.research.google.com/drive/1tuoAC5F4sC7qid56Z0ap-stR3rwdk0ZV (clip prefix captioning)
Gpt2 for image generation:
https://colab.research.google.com/drive/1c1kmO9tixviyBB7IGh-jVpLvOh2RpLYk
https://colab.research.google.com/drive/1qgt8cSwKF957PgPTKhRcNwDIfWrMhbV9
https://colab.research.google.com/drive/1neFtD1y3RyPdZzfY7nRwzCpMcytHdNcw
https://colab.research.google.com/drive/1em6hc60VpwfKfBMYDVP8zgzanA9tUVaS
Pose:
https://googlecreativelab.github.io/posenet-sketchbook/
https://pose-animator-demo.firebaseapp.com/camera.html
https://colab.research.google.com/github/cedro3/others/blob/master/LSE_OpenPose.ipynb (video)
https://colab.research.google.com/github/cedro3/others/blob/master/VideoPose3D.ipynb (video pose 3d)
https://terryky.github.io/tfjs_webgl_app/ (hand, pose, face swapping and more in the browser)
https://colab.research.google.com/drive/1uCuA6We9T5r0WljspEHWPHXCT_2bMKUy
https://colab.research.google.com/drive/14Zgotr2_F0LfvcpRi03uQdMvUbLQSgok
Face and body generation-
https://colab.research.google.com/drive/1kDMnB9IsnuWa_KFddOXC21OD8m_Hkpow
Depth prediction:
http://stereo.jpn.org/jpn/stphmkr/google/colabe.html
https://github.com/ialhashim/DenseDepth
Mediapipe facemesh:
https://colab.research.google.com/drive/1FCxIsJS9i58uAsgsLFqDwFmiPO14Z2Hd
https://eyaler.github.io/tfjs_webgl_app/face_landmark (face swap from camera/video)
Speaker separation:
Old school:
https://j.mp/gmicvid (GMIC filters for video)
https://gmicol.greyc.fr/ (GMIC online for images)
https://bit.li/plotpi (plotting pi - numberphile)
More:
https://github.com/mmattyg/AI4D
https://github.com/tugstugi/dl-colab-notebooks
https://github.com/styler00dollar/dl-colab-notebooks
https://github.com/mrm8488/shared_colab_notebooks
https://github.com/dvschultz/ml-art-colabs
https://github.com/PINTO0309/PINTO_model_zoo
https://github.com/google/mediapipe
https://viz.mediapipe.dev/demo
https://github.com/tensorflow/docs/tree/master/site/en/tutorials/generative
https://github.com/DmitryUlyanov/deep-image-prior
https://github.com/amrzv/awesome-colab-notebookshttps://github.com/amrzv/awesome-colab-notebooks
https://colab.research.google.com/github/aicrumb/useless-pytools/blob/main/useless_py.ipynb
https://github.com/Norod/my-colab-experiments
https://github.com/tg-bomze/collection-of-notebooks
https://docs.google.com/document/u/1/d/1ON4unvrGC2fSEAHMVb4idopPlWmzM0Lx5cxiOXG47k4/mobilebasic (hitchhiker’s guide to latent space colabs)
https://pharmapsychotic.com/tools.html
Offline tools:
https://softology.com.au/voc.htm
nlp:
https://notebooks.quantumstat.com/