Pulkit-Khandelwal
PhD candidate at the University of Pennsylvania
University of PennsylvaniaPhiladelphia
Pulkit-Khandelwal's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
AliaksandrSiarohin/first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
VGraupera/1on1-questions
Mega list of 1 on 1 meeting questions compiled from a variety to sources
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
facebookresearch/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
domlysz/BlenderGIS
Blender addons to make the bridge between Blender and geographic data
MIC-DKFZ/nnUNet
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
nteract/semiotic
A data visualization framework combining React & D3
wolny/pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
PyMesh/PyMesh
Geometry Processing Library for Python
raphaelvallat/pingouin
Statistical package in Python based on Pandas
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
NifTK/NiftyNet
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
brylevkirill/notes
Learn about Machine Learning and Artificial Intelligence
adalca/medical-datasets
tracking medical datasets, with a focus on medical imaging
MrGiovanni/ModelsGenesis
[MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis
nipreps/fmriprep
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
djnavarro/rbook
Source files for "Learning Statistics with R"
PengBoXiangShang/multigraph_transformer
IEEE TNNLS 2021, transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Transformer for Free-Hand Sketch Recognition"
perslev/MultiPlanarUNet
Multi-Planar UNet for autonomous segmentation of 3D medical images
nipreps/smriprep
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
dgleich/matlab-bgl
A graph library for Matlab based on the boost graph library
khammernik/sigmanet
Sigmanet: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction,
BIC-MNI/minc-toolkit
Metaproject uniting all the available minc tools
ejcorn/connectome_diffusion
Code to reproduce all network modeling analyses for Henderson et al. 2019 ("Spread of α-synuclein pathology through the brain connectome is modulated by selective vulnerability and predicted by network analysis").
jarvisWang0903/Meta-Learning-PaperReading
Notes for daily reading papers
thuyen/multicrop