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algorithm-specialization-by-stanford

Problem Set and Programming Assignment Solutions to Stanford University's Algorithms Specialization on Coursera

automated-detection-and-localization-of-myocardial-infarction-research-project

Classifier for detection and prediction of the type of MI or NORM from 12-lead ECG beats.

automatic-rwma-detection

autotrackanything

AutoTrackAnything is a universal, flexible and interactive tool for insane automatic object tracking over thousands of frames. It is developed upon XMem, Yolov8 and MobileSAM (Segment Anything), can track anything which detect Yolov8.

awesome-colab-notebooks

Collection of google colaboratory notebooks for fast and easy experiments

awesome-semi-supervised-semantic-segmentation

A summary of recent semi-supervised semantic segmentation methods

brain-segmentation-pytorch

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

c2l_miccai2020

causality-medical-image-domain-generalization

[IEEE-TMI'22] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)

cpsc330-2022w2

crisp-uncertainty

cs102-algorithm-analysis

Algorithm Analysis

cutie

[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

dataframe

ddp

ddu

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

deit

Official DeiT repository

demo_repo

diffusion-models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

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.

dtml

Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation

dynamic

EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

echographs

[MICCAI 2022] The official repository of Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound. Project page: https://guybenyosef.github.io/EchoGraphs/

efficient-ai-backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

eoas555

Notebooks for EOAS555

fastflownet

FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021)

floodnet_public

Experiment on the FloodNet Challenge Dataset

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks