m-rami-g

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-machine-learning-fluid-mechanics

Curated list for ML in FM

buckinghampy

Teaching tool for the Buckingham Pi theorem. With a terribly obvious name.

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

ds4b

Here is a collection of the topics taught in Professor Reed's Data Science Courses.

DySMHO

Education-Analytics

enviro_mod_notes

Introductory notes on environmental modelling and statistics

m-rami-g/applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

m-rami-g/awesome-machine-learning-fluid-mechanics

Curated list for ML in FM

m-rami-g/databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

m-rami-g/deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

m-rami-g/ds4b

Here is a collection of the topics taught in Professor Reed's Data Science Courses.

m-rami-g/DySMHO

m-rami-g/Education-Analytics

m-rami-g/enviro_mod_notes

Introductory notes on environmental modelling and statistics

m-rami-g/fastbook

The fastai book, published as Jupyter Notebooks

m-rami-g/FundamentalsNumericalComputation.jl

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.

m-rami-g/industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

m-rami-g/GRxnODE

m-rami-g/julia-bootcamp-2022

m-rami-g/LabDroid_optimizer

The implementation of Bayesian optimization module introduced in "Robotic search for optimal cell culture in regenerative medicine".

m-rami-g/ml-cfd-lecture

Lecture material for machine learning applied to computational fluid mechanics

m-rami-g/neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

m-rami-g/processing-animations-code

A set of Processing animations, which have improved and commented code

m-rami-g/PyDimension

Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurements".

m-rami-g/pyFOOMB

Framework for Object Oriented Modelling of Bioprocesses

m-rami-g/pytorch-exercise

Practical Exercise Codes for PyTorch

m-rami-g/pytorch_projects

m-rami-g/PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

m-rami-g/R-projets

m-rami-g/resources

Supplementary resources for the textbook Engineering Design Optimization by Joaquim R. R. A. Martins and Andrew Ning

m-rami-g/RNA-transcription-modelling-and-DS

Model Implementation and Design Space Construction to support 'Quality by Design modelling for rapid RNA vaccine production against emerging infectious diseases'

m-rami-g/sktime

A unified framework for machine learning with time series

m-rami-g/StatsWithJuliaBook

m-rami-g/test

m-rami-g/time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

m-rami-g/TS-EMO

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).