Maryam Tayyab (maryam-tayyab)

maryam-tayyab

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Company:MS-MRI Research Group - University of British Columbia

Location:Vancouver, Canada

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Maryam Tayyab's starred repositories

Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

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icra2017-visual-navigation-1

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

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gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

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openai-cookbook

Examples and guides for using the OpenAI API

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Computer-Vision-Video-Lectures

A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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data-gym

Most demos are Python; they may be executed on your own Google (Colab) account

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labs

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

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intro-docker

Research Commons workshop "Intro to Docker"

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public

Public documents for the Master of Data Science program at the University of British Columbia

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course-content

NMA Computational Neuroscience course

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NoduleX_code

Supporting code for the paper "Highly accurate model for prediction of lung nodule malignancy with CT scans".

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reliability-challenges-uncertainty

Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation

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miccai19_self_supervision

Example Code for Self-Supervised Feature Learning in Medical Volume Scans

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robustness_applications

Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"

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robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

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kornia

Geometric Computer Vision Library for Spatial AI

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receptive_field

Compute receptive fields of your favorite convnets

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torchio

Medical imaging toolkit for deep learning

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LesionFilling_example

A reproducible example on how to use ANTs' lesion filling program

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ANTs

Advanced Normalization Tools (ANTs)

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