m-rami-g Goto Github PK
Name: Mohamed Rami Gaddem
Type: User
Company: Tokyo Institute of Technology
Location: Tokyo
Name: Mohamed Rami Gaddem
Type: User
Company: Tokyo Institute of Technology
Location: Tokyo
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Curated list for ML in FM
Teaching tool for the Buckingham Pi theorem. With a terribly obvious name.
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
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Here is a collection of the topics taught in Professor Reed's Data Science Courses.
Introductory notes on environmental modelling and statistics
The fastai book, published as Jupyter Notebooks
Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
The implementation of Bayesian optimization module introduced in "Robotic search for optimal cell culture in regenerative medicine".
Lecture material for machine learning applied to computational fluid mechanics
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
A set of Processing animations, which have improved and commented code
Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurements".
Framework for Object Oriented Modelling of Bioprocesses
Practical Exercise Codes for PyTorch
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
Supplementary resources for the textbook Engineering Design Optimization by Joaquim R. R. A. Martins and Andrew Ning
Model Implementation and Design Space Construction to support 'Quality by Design modelling for rapid RNA vaccine production against emerging infectious diseases'
A unified framework for machine learning with time series
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.