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3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

abd-net

[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114

activitynet

This repository is intended to host tools and demos for ActivityNet

ad-nerf

This repository contains a PyTorch implementation of "AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis".

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

advent

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

adversarial-feature-augmentation

Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018

adversarial-robustness-toolbox

Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

adversarialnetspapers

The classical paper list with code about generative adversarial nets

advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

aicity2020-voc-reid

The 2nd place submission for AICity Challenge 2020 ReID track， VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-Camera

alpaca-lora

Instruct-tune LLaMA on consumer hardware

antisymmetricrnn

Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"

auto-reid-fast

A pytorch implementation of using DARTS to search better structure for Re-ID

autodl-projects

Automated deep learning algorithms implemented in PyTorch.

awesome-3d-human-reconstruction

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-masked-autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

awesome-nerf

A curated list of awesome neural radiance fields papers

awesome-person-re-identification

Awesome person re-identification

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awesome-privacy-papers

Machine/deep learning papers that address the topic of privacy in visual data.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome_opensetrecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

bf3s

Boosting Few-Shot Visual Learning with Self-Supervision

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

brain_segmentation

Implementation of VoxResNet for 3D brain segmentation

cae

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

cityscapesscripts

README and scripts for the Cityscapes Dataset