Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

Hackable and optimized Transformers building blocks, supporting a composable construction.

Official repository for the paper "Instance-Conditioned GAN" by Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michał Drożdżal, Adriana Romero-Soriano.

Visual tracking library based on PyTorch.

Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

[ICCV21] Self-Calibrating Neural Radiance Fields

This repository contains demos I made with the Transformers library by HuggingFace.

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

Implementation of "TrackFormer: Multi-Object Tracking with Transformers”.

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

Official implementation of the paper Visual Parser: Representing Part-whole Hierarchies with Transformers

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis Implementation

Development repository for the Triton language and compiler

An open source implementation of CLIP.

Official Matplotlib cheat sheets

A library to decouple your Python project. Write code, not spaghetti.

A resource repository for 3D machine learning

Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs

[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence