Brandon J. Nelson's starred repositories
computer-science
🎓 Path to a free self-taught education in Computer Science!
generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
approachingalmost
Approaching (Almost) Any Machine Learning Problem
git-style-guide
A Git Style Guide
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
SlicerTotalSegmentator
Fully automatic total body segmentation in 3D Slicer using "TotalSegmentator" AI model
juliacon21-gpu_workshop
Material for the 2021 GPU workshop at JuliaCon
DataFrames
Welcome to DataFrames.jl with Bogumił Kamiński
JuliaCon2021-DataFrames-Tutorial
A tutorial on DataFrames.jl prepared for JuliaCon2021
Research-Lab-Website
This is a simple static research lab website template which can be used by college students / professors.
MethodAnalysis.jl
Utilities to analyze Julia's method tables
multi_objective_optimisation
Material for learning and practicing the technique of multi-objective optimisation
genomics-workshop
Genomics Workshop Overview