Luckilyeee
Ph.D. candidate in Computer Science at Utah State University
Utah State UniversityLogan, UT
Luckilyeee's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
TheAlgorithms/Python
All Algorithms implemented in Python
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
cleverhans-lab/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
hardikkamboj/An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
liyin2015/python-coding-interview
A middle-to-high level open source algorithm book designed with coding interview at heart!
perixtar/2025-Tech-OA-by-FastPrep
List of Tech Company OAs. Save your time from finding them all over the internet.
eliorc/node2vec
Implementation of the node2vec algorithm.
krishnaik06/Complete-Python-Bootcamp
krishnaik06/Complete-Data-Science-With-Machine-Learning-And-NLP-2024
jayroxis/PINNs
PyTorch Implementation of Physics-informed Neural Networks
titu1994/MLSTM-FCN
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
KrishnaswamyLab/PHATE
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
shafaypro/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
EliSchwartz/imagenet-sample-images
1000 images, one per image-net class. For easy visualization/exploration of classes.
fzi-forschungszentrum-informatik/TSInterpret
An Open-Source Library for the interpretability of time series classifiers
arkadaw9/PGNN
Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
ayaabdelsalam91/TS-Interpretability-Benchmark
JonathanCrabbe/Dynamask
This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.
pranjaldatta/Denoising-Autoencoder-in-Pytorch
A Pytorch Implementation of a denoising autoencoder.
JAEarly/MILTimeSeriesClassification
Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)
JHoelli/TSEvo
"TSEvo: Counterfactuals for Time Series Classification" accepted at ICMLA '22.
omarbahri/SETS
MarioRefoyo/Sub-SpaCE
Code of Sub-SpaCE to be presented in xAI-2024
omarbahri/TeRCE
mattkjames7/pyomnidata
Python tool for downloading, converting and reading OMNI solar wind data.
omarbahri/RuleTransform