Dean S. Hazineh's starred repositories
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
theme-academic-cv
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
varadbhogayata.github.io
My Portfolio - Personal Website
quant-notes
Quantitative Interview Preparation Guide, updated version here ==>
diffractsim
✨🔬 A flexible diffraction simulator for exploring and visualizing physical optics.
tiny-diffusion
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
CrackingMachineLearningInterview
A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews
Matrix-Calculus-Tutorial
Matrix Calculus via Differentials, Matrix Derivative, 矩阵求导教程
refractiveindex.info-database
Database of optical constants
DFlat-tensorflow
(Tensorflow Version) D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and sensing task.
understanding_gaussian_process
Code for the "Understanding Gaussian Process" Medium article
Web-Development-Short-Course
Supporting repository to CareerFoundry's short course on web development
AD-Ray-Optics
Auto Differentiable Ray Tracing Framework
IncludeSupplement
A method for including supplemental materials files on the arXiv
Multi-Image-Synthesis
The code repository for the 2023 ICCP Paper: Polarization Multi-Image Synthesis with Birefringent Metasurfaces
Deep-Learning-Color-for-Manga
Implements the Pix2Pix TF architecture (cGAN for image translation) in Python 3.5, TF 1.12 to deeplearn colorization for black and white sketches, manga, and anime
Emergent-World-Representations-Othello
A mechanistic interpretability study invvestigating a sequential model trained to play the board game Othello
Pytorch-Deep-Learning-Examples
A small collection of .ipynb notebooks that implements basic tests and demos of some repositories published in computer vision journals