Stars
Code for the book Deep Learning From Scratch, from O'Reilly September 2019
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Master programming by recreating your favorite technologies from scratch.
Notebooks for the "Deep Learning with JAX" book
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Matlab files 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 http:โฆ
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
Examples and guides for using the OpenAI API
Repository accompanying the paper "Model-Predictive Attitude Control for Flexible Spacecraft During Thruster Firings"
Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment anโฆ
Robotics Toolbox for MATLAB
The course website for 'Optimal Control for Robotics', which I taught at Tufts University in Spring 2018
18.335 - Introduction to Numerical Methods course
Tutorials and information on the Julia language for MIT numerical-computation courses.
Library code for programming contests
A MATLAB toolbox for exporting publication quality figures
This program converts MATLABยฎ/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.
Transformers 3rd Edition
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: ๐บ๐ธ ๐จ๐ณ ๐ฏ๐ต ๐ฎ๐น ๐ฐ๐ท ๐ท๐บ ๐ง๐ท ๐ช๐ธ
FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: ๐บ๐ธ ๐จ๐ณ ๐ฐ๐ท ๐ช๐ธ ๐ป๐ณ ๐ง๐ท
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A Code-First Introduction to NLP course
A basic introduction to Matlab, guided towards simulation and analysis of dynamical systems