Pulkit-Khandelwal
PhD candidate at the University of Pennsylvania
University of PennsylvaniaPhiladelphia
Pulkit-Khandelwal's Stars
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
Twipped/InterviewThis
An open source list of developer questions to ask prospective employers
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
mdbloice/Augmentor
Image augmentation library in Python for machine learning.
faridrashidi/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
rmcelreath/rethinking
Statistical Rethinking course and book package
Project-MONAI/tutorials
MONAI Tutorials
black0017/MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
NVlabs/FUNIT
Translate images to unseen domains in the test time with few example images.
Project-MONAI/research-contributions
Implementations of recent research prototypes/demonstrations using MONAI.
benedekrozemberczki/ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
trevismd/statannotations
add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.
Deep-MI/FastSurfer
PyTorch implementation of FastSurferCNN
tscohen/GrouPy
Group Equivariant Convolutional Neural Networks
askerlee/segtran
Medical Image Segmentation using Squeeze-and-Expansion Transformers
fcdl94/MiB
Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718
nipy/mindboggle
Automated anatomical brain label/shape analysis software (+ website)
wentaozhu/AnatomyNet-for-anatomical-segmentation
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
layerfMRI/LAYNII
Stand alone fMRI software suite for layer-fMRI analyses.
NicholasARossi/Easing-Animations-with-Python
pyushkevich/greedy
Very fast greedy diffeomorphic registration code
nighres/nighres
Processing tools for high-resolution neuroimaging
yuanqidu/GraphGT
AllanYangZhou/metalearning-symmetries
Experiments for Meta-Learning Symmetries by Reparameterization
fcalvet/image_tools
nudro/covid-resources
Ongoing list of covid-19 models, visualizations
bo-10000/pytorch_3d_segmentation
PyTorch implementation of VoxResNet, Attention U-Net and V-Net
ecr05/AdvancedMachineLearningCourse
Advanced Machine Learning Course