iammarqazi's Stars
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
SciML/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
cdeweyx/DS-Career-Resources
Compilation of resources for aspiring data scientists
cpraveen/chebpy
Spectral Methods in Python
mimoralea/gdrl
Grokking Deep Reinforcement Learning
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
hjkgrp/molSimplify
molSimplify code
rdbraatz/data-driven-prediction-of-battery-cycle-life-before-capacity-degradation
Code for Nature energy manuscript
microhh/microhh
Computational fluid dynamics code for simulation of turbulent flows in the atmospheric boundary layer
pressel/pycles
A python based infrastructure for cloud large eddy simulation.
qosf/qml-mooc
Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019
roadfoodr/mitx-sds-resources
Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science
Varal7/ml-tutorial
Introduction to ML packages for the 6.86x course
airshaper/adaptive-mesh-refinement
OpenFoam® motorBike case with adaptive volume & surface mesh refinement based on curl(U) or grad(p)
sylvaticus/MITx_6.86x
Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
cwrowley/ibpm
Immersed Boundary Projection Method
kalu-o/mLEARn
An Implementation of Mutli-layer Perceptron in C++
patrickloeber/MLfromscratch
Machine Learning algorithm implementations from scratch.
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
hhaji/Applied-Machine-Learning
Course: Applied Machine Learning
arkadaw9/PGNN
Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
ChrisRackauckas/universal_differential_equations
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
engineersCode/EngComp6_deeplearning
A step-by-step introduction to deep learning (a.k.a. neural network) models for scientists and engineers.
mbarzegary/educational-bayesian
Educational materials to learn how to employ Bayesian optimization techniques for parameter estimation of computational and statistical models
jonnyhigham/POD_DMD
A tool to connect POD and DMD
AndreWeiner/machine-learning-applied-to-cfd
Examples of how to use machine learning algorithms in computational fluid dynamics.
maziarraissi/Introduction-to-Machine-Learning-in-R
Introduction to Machine Learning in R