Stars
A latent text-to-image diffusion model
Google Research
This repository contains the source code for the paper First Order Motion Model for Image Animation
Reference PyTorch implementation and models for DINOv3
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Automatic extraction of relevant features from time series:
Image restoration with neural networks but without learning.
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
From the basics to slightly more interesting applications of Tensorflow
Reference models and tools for Cloud TPUs.
CoTracker is a model for tracking any point (pixel) on a video.
Materials for the Hugging Face Diffusion Models Course
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
High Quality Monocular Depth Estimation via Transfer Learning
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"
Representation Engineering: A Top-Down Approach to AI Transparency
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
[CVPR 2025] Official PyTorch implementation of "EdgeTAM: On-Device Track Anything Model"
Cosmos-Transfer1-DiffusionRenderer: High-quality video de-lighting and re-lighting based on Cosmos video diffusion framework
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
EfficientSAM3 compresses SAM3 into lightweight, edge-friendly models via progressive knowledge distillation for fast promptable concept segmentation and tracking.