vishwesh5 / Linear-Algebra-DataLinks
Learn Algebra and Learning from Data by Gilbert Strang
☆10Updated 6 years ago
Alternatives and similar repositories for Linear-Algebra-Data
Users that are interested in Linear-Algebra-Data are comparing it to the libraries listed below
Sorting:
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆138Updated 5 years ago
- Notebooks for "Probabilistic Machine Learning" book☆201Updated 3 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆116Updated 10 months ago
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆351Updated 5 years ago
- Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC☆96Updated 6 years ago
- Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège☆411Updated 3 weeks ago
- Harvard Applied Math 205: Code Examples☆98Updated 3 years ago
- Introduction to Mathematical Computing with Python and Jupyter☆552Updated 2 years ago
- Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch☆160Updated 7 years ago
- A collection of notebooks of my Machine Learning class written in python 3☆44Updated 7 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 5 years ago
- Resources, papers, tutorials☆127Updated 5 years ago
- Labs for the Foundations of Applied Mathematics curriculum.☆235Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆92Updated 7 years ago
- Repository of textbooks and articles in Computer Science☆62Updated 5 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆96Updated 3 years ago
- Jupyter notebooks associated with the Algorithms for Optimization textbook☆535Updated 3 years ago
- This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube☆247Updated 7 years ago
- ☆62Updated 6 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆46Updated 6 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic☆512Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 5 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆181Updated 4 years ago
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆56Updated last year
- Tutorials and information on the Julia language for MIT numerical-computation courses.☆802Updated last year
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆568Updated 2 years ago
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Updated 4 years ago
- David Mackay's book review and problem solvings and own python codes, mathematica files☆58Updated 8 years ago
- Understanding nuts and bolts of neural networks with PyTorch☆33Updated 5 years ago