m-rami-g Goto Github PK

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

fastbook

The fastai book, published as Jupyter Notebooks

fundamentalsnumericalcomputation.jl

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

grxnode

industry-machine-learning

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

julia-bootcamp-2022

labdroid_optimizer

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

ml-cfd-lecture

Lecture material for machine learning applied to computational fluid mechanics

neuromancer

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

processing-animations-code

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

pydimension

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

pyfoomb

Framework for Object Oriented Modelling of Bioprocesses

pytorch-exercise

Practical Exercise Codes for PyTorch

pytorch_projects

pytorchstepbystep

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

r-projets

resources

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

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'

sktime

A unified framework for machine learning with time series

statswithjuliabook

test

time-series-transformers-review

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