iammarqazi

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.

  7.5k1.1k

• SciML/SciMLBook

  Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

  Language:HTML1.8k331

• cdeweyx/DS-Career-Resources

  Compilation of resources for aspiring data scientists

  Language:Python1.9k635

• cpraveen/chebpy

  Spectral Methods in Python

  Language:Jupyter Notebook4518

• mimoralea/gdrl

  Grokking Deep Reinforcement Learning

  Language:Jupyter Notebook789228

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.1k2.6k

• hjkgrp/molSimplify

  molSimplify code

  Language:Python16749

• rdbraatz/data-driven-prediction-of-battery-cycle-life-before-capacity-degradation

  Code for Nature energy manuscript

  Language:Jupyter Notebook470192

• microhh/microhh

  Computational fluid dynamics code for simulation of turbulent flows in the atmospheric boundary layer

  Language:C++11359

• pressel/pycles

  A python based infrastructure for cloud large eddy simulation.

  Language:Fortran9269

• qosf/qml-mooc

  Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019

  Language:Jupyter Notebook272150

• roadfoodr/mitx-sds-resources

  Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science

  4421

• Varal7/ml-tutorial

  Introduction to ML packages for the 6.86x course

  Language:Jupyter Notebook357379

• airshaper/adaptive-mesh-refinement

  OpenFoam® motorBike case with adaptive volume & surface mesh refinement based on curl(U) or grad(p)

  Language:C++5510

• sylvaticus/MITx_6.86x

  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning

  Language:HTML297139

• cwrowley/ibpm

  Immersed Boundary Projection Method

  Language:C++9847

• kalu-o/mLEARn

  An Implementation of Mutli-layer Perceptron in C++

  Language:C++103

• patrickloeber/MLfromscratch

  Machine Learning algorithm implementations from scratch.

  Language:Python1.3k521

• 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.

  Language:Python23.8k4.6k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.4k25.2k

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML8.9k1.4k

• chiphuyen/ml-interviews-book

  https://huyenchip.com/ml-interviews-book/

  Language:HTML3.4k510

• hhaji/Applied-Machine-Learning

  Course: Applied Machine Learning

  Language:Jupyter Notebook6155

• arkadaw9/PGNN

  Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling

  Language:Python9333

• ChrisRackauckas/universal_differential_equations

  Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML

  Language:Julia21759

• engineersCode/EngComp6_deeplearning

  A step-by-step introduction to deep learning (a.k.a. neural network) models for scientists and engineers.

  Language:Jupyter Notebook105

• mbarzegary/educational-bayesian

  Educational materials to learn how to employ Bayesian optimization techniques for parameter estimation of computational and statistical models

  Language:Jupyter Notebook142

• jonnyhigham/POD_DMD

  A tool to connect POD and DMD

  Language:MATLAB1011

• AndreWeiner/machine-learning-applied-to-cfd

  Examples of how to use machine learning algorithms in computational fluid dynamics.

  Language:Jupyter Notebook23686

• maziarraissi/Introduction-to-Machine-Learning-in-R

  Introduction to Machine Learning in R

  Language:Jupyter Notebook1912