Highlights
- Pro
Stars
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Automatic extraction of relevant features from time series:
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Visualizations for machine learning datasets
Toturials coming with the "data science roadmap" picture.
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Easily compute clip embeddings and build a clip retrieval system with them
Official implementation of Diffusion Autoencoders
Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).
12k labelled instances of dogs in-the-wild with 2D keypoint and segmentations. Dataset released with our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximizati…
Real NVP PyTorch a Minimal Working Example