wanggrun Goto Github PK

4d-humans

4DHumans: Reconstructing and Tracking Humans with Transformers

adaptively-connected-neural-networks

A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"

adaptively-connected-neural-networks-pytorch

This is the pytorch implementation of "Adaptively Connected Neural Networks" for the currently popular EfficientNet and the efficient DNA network families.

adversarial-attack-on-person-reid-with-deep-mis-ranking

This is a pytorch implementation of the CVPR2020 paper: Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking

anydoor

Official implementations for paper: Anydoor: zero-shot object-level image customization

arcface-pytorch

auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

bossnas

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

cocostuffapi

COCO Stuff API

cold-diffusion-models

Official implementation of Cold-Diffusion for different transformations in pytorch.

custom-diffusion

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion

dataset_reconstruction

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

depth-anything

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

dis

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

dm-improves-at

Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)

dna

ebm-anatomy

PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"

egnn

emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

examples-1

Deep Learning Examples

face_pytorch

face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on

fast-reid

SOTA ReID Methods and Toolbox

flamingo

flamingo 一款高性能轻量级开源即时通讯软件

flatten-transformer

Official repository of FLatten Transformer (ICCV2023)

flops-of-macc-in-tensorflow