Rouzbeh's starred repositories
uncertain_ground_truth
Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).
modern-cpp-features
A cheatsheet of modern C++ language and library features.
awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
GPBayesTools-HIC
Gaussian Process Bayesian Toolkit with Monte Carlo Sampler Integration for Heavy Ion Collisions
awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
astronomy-to-data-science
resources for transitioning from academic astronomy to industry data science
Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
data-science-interviews
Data science interview questions and answers
HAM10000-skin-lesion-classification
HAM10000 Skin Lesion Classification
rag_by_averaging
This project improves a naïve Retrieval-Augmented Generation (RAG) through averaging through similar queries to a given query. It also provides an original evaluation metric that can compare different RAG pipelines using vectorization of sentences with cosine similarity.
gradient-checkpointing
Make huge neural nets fit in memory
pythonguis-examples
Demo desktop apps built with Python & Qt. With examples for PyQt6, PySide6, PyQt5 & PySide2
LUA-Projects
Series of small projects with LUA
bml-course
Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
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
Efficient-Python-for-Data-Scientists
Writing clean and optimized Python code
harmonic-oscillator-pinn-workshop
Introductory workshop on PINNs using the harmonic oscillator