Pinned Repositories
applied-ml
đź“š 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's Repositories
m-rami-g/applied-ml
đź“š 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).