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1st-freesound-audio-tagging-2019

2020-cbms-doubleu-net

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

2nd-place-solution-to-facebook-image-similarity-matching-track

3d-gan-superresolution

3D super-resolution using Generative Adversarial Networks

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3d-ru-net

A SlidingWindow-Free Accurate and Fast 3D Medical Image Segmentation Framework

3d-skipdenseseg

3d_denseseg

The implementation of 3D_DenseSeg for infant brain MRI segmentation

3dfasterrcnn_lungnoduledetector

3dunet-tensorflow-brats18

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

acdc2017

adaptis.pytorch

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

adaptively-connected-neural-networks

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

adco

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

ai-challenger-retinal-edema-segmentation

DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger

ai-ffpe

Deep Learning-based Frozen Section to FFPE Translation

aimclr

This is an official PyTorch implementation of "Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition" in AAAI2022.

albumentations

fast image augmentation library and easy to use wrapper around other libraries

amigo

This is the pytorch\DGL implementation of the AMIGO paper.

aml_project_ctscans

Detection of cancer cells in liver CT scans using python

annotatednetworkmodelgit

加注释的网络模型（便于理解）

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

arldm

Official Pytorch Implementation of Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models

arxiv-screening

repository for short (and incomplete) comments on papers

assembled-cnn

Official implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

atria_segmentation_2018

This repository contains training and testing code for atrial segmentation challenge 2018

attention-based-deep-multiple-instance-learning

Constructed attention-based deep multiple instance learning model using PyTorch and trained on 624 whole slide images of digitized H&E-stained prostate biopsies using AWS SageMaker’s data parallelism toolkit.

attention-cnn-work

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

attention-sampling

This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using attention-sampling