[NeurIPS'24] Official PyTorch implementation for paper "Knowledge Composition using Task Vectors with Learned Anisotropic Scaling"

A python library for self-supervised learning on images.

Official Code for DragGAN (SIGGRAPH 2023)

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A playbook for systematically maximizing the performance of deep learning models.

[CVPR'22] Official PyTorch implementation for paper "Efficient Two-Stage Detection of Human–Object Interactions with a Novel Unary–Pairwise Transformer"

End-to-End Object Detection with Transformers

A deep learning library to enable rapid prototyping

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

🕵️‍♂️ Offensive Google framework.

Datasets, Transforms and Models specific to Computer Vision

Deep Declarative Networks