dianaconst's Stars
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
bowang-lab/MedSAM
Segment Anything in Medical Images
mithi/robotics-coursework
🤖 Places where you can learn robotics (and stuff like that) online 🤖
BedirT/ACM-ICPC-Preparation
ACM-ICPC Preparation Guide
WittmannF/sort-google-scholar
Sorting Google Scholar search results based on the number of citations
MrGiovanni/ModelsGenesis
[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis
alexwforsythe/code-blocks
Syntax highlighting for Google Docs
lucidrains/siren-pytorch
Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
FelixOpolka/STGCN-PyTorch
🚗 Implementation of spatio-temporal graph convolutional network with PyTorch
neuraloperator/graph-pde
Using graph network to solve PDEs
twitter-research/graph-neural-pde
Graph Neural PDEs
sdsubhajitdas/Brain-Tumor-Segmentation
Brain Tumor Segmentation done using U-Net Architecture.
haqishen/Google-Landmark-Recognition-2020-3rd-Place-Solution
hazdzz/awesome-gnn
A list for GNNs and related works.
rafabs97/headpose_final
Human head pose estimation using Keras over TensorFlow.
DSL-Lab/Specformer
Transformer-based Spectral Graph Neural Networks
SwiftieH/IGNN
Implicit Graph Neural Networks
jeongwhanchoi/GREAD
GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023
mdciri/3D-augmentation-techniques
Chechink the performance of different augmentation techniques on the BraTS 2020 data.
JiaoLuoadmin/github-repositories-data
A bunch of files where for each file on every line there is a URL for github that was returned when searching for the filename.
ChunjingXiao/ConGNN
Controlled graph neural networks with denoising diffusion for anomaly detection, Expert Systems with Applications 2023
KurtLabUW/brats2023_updated
Kurtlab's code for BraTS 2023 submission
nmn-pandey/brain-tumour-segmentation
Code for automated brain tumor segmentation from MRI scans using CNNs with attention mechanisms, deep supervision, and Swin-Transformers. Based on my Master's dissertation project at Brunel University, it features 3 deep learning models, showcasing integration of advanced techniques in medical image analysis.
nmakes/back-blur
A simple opencv demonstration of background removal / blurring
maralzar/Brats2023
Gathering Resources for BRATS2023 Competition Preparation
charzharr/3D-medseg-pretraining
Project on discovering new effective pretraining methods for 3D medical image segmentation.
izuane/COMP37212-computer-vision
CangelosiQ/RL-Library
A work in progress towards a reinforcement learning library.