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About Me

Languages and Tools:

  • Programming Languages:

    python c

  • Packages & Libaries:

    pytorch

ps's Projects

cnn-explainer icon cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

highdicom icon highdicom

High-level DICOM abstractions for the Python programming language

learnml icon learnml

This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube

llama icon llama

Inference code for LLaMA models

made-with-ml icon made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.

mitk icon mitk

The Medical Imaging Interaction Toolkit.

mlops-course icon mlops-course

Learn how to design, develop, deploy and maintain an end-to-end ML application at scale.

mlxtend icon mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

onetomany_toolsynseg icon onetomany_toolsynseg

Codes for the IROS 2023 paper "Generalizing Surgical Instruments Segmentation to Unseen Domains with One-to-Many Synthesis".

openpilot icon openpilot

openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.

pydicom icon pydicom

Read, modify and write DICOM files with python code

pytorchstepbystep icon pytorchstepbystep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

sdc11073 icon sdc11073

ISO/IEEE 11073 SDC implementation for testing purposes and demonstration environments in python

sdclib icon sdclib

Service-oriented Devices Connectivity Library: A reference implementation of the IEEE 11073 SDC Library

slicer icon slicer

Multi-platform, free open source software for visualization and image computing.

surglatentgraph icon surglatentgraph

This repository contains the code associated with our 2023 TMI paper "Latent Graph Representations for Critical View of Safety Assessment" and our MICCAI 2023 paper "Encoding Surgical Videos as Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning".

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