Name: Sarthak Pati
Type: User
Company: @IUCompPath, @mlcommons
Bio: Researcher and Software Architect at the Division of Computational Pathology, Indiana University School of Medicine.
Twitter: sarthakpati
Location: Philadelphia, PA
Blog: sarthakpati.github.io
Sarthak Pati's Projects
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Machine Learning Engineer with a flair for C++.
Graph Algorithms
All-pair set similarity search on millions of sets in Python and on a laptop
Example of iterative job submission using the cubic cluster at CBICA, UPenn
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
For Stress Testing Machines
Contrast-agnostic segmentation of MRI scans
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
A conda-smithy repository for tiatoolbox.
Read and write TIFF files. Forked from https://pypi.org/project/tifffile
tifffile based openslide-python replacement
A conda-smithy repository for torch-scatter.
View model summaries in PyTorch!
Medical image preprocessing and augmentation tools for deep learning.
A conda-smithy repository for torchio.
Training neural networks in PyTorch
Reference implementations of training benchmarks
Latex template for a TUM dissertation/PhD thesis
Here, we will be showcasing our seminar series “CPP for Image Processing and Machine Learning” including presentations and code examples. There are image processing and machine learning libraries out there which use C++ as a base and have become industry standards (ITK for medical imaging, OpenCV for computer vision and machine learning, Eigen for linear algebra, Shogun for machine learning). The documentation provided with these packages, though extensive, assume a certain level of experience with C++. Our tutorials are intended for those people who have basic understanding of medical image processing and machine learning but who are just starting to get their toes wet with C++ (and possibly have prior experience with Python or MATLAB). Here we will be focusing on how someone with a good theoretical background in image processing and machine learning can quickly prototype algorithms using CPP and extend them to create meaningful software packages.
VC++ Packaging Tool
Datasets, Transforms and Models specific to Computer Vision
Code snippets for Visual Studio
Python package for reading DICOM WSI file sets.
Extract Deflate64 ZIP archives with Python's `zipfile` API.