algorithmsbooks / algforopt-notebooks
Jupyter notebooks associated with the Algorithms for Optimization textbook
☆451Updated 3 years ago
Alternatives and similar repositories for algforopt-notebooks:
Users that are interested in algforopt-notebooks are comparing it to the libraries listed below
- 18.335 - Introduction to Numerical Methods course☆521Updated this week
- Julia code for the book Reinforcement Learning An Introduction☆321Updated last year
- Errata for Algorithms for Optimization book☆70Updated last week
- Tutorials and information on the Julia language for MIT numerical-computation courses.☆762Updated 2 months ago
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆164Updated this week
- Julia code for the book Numerical Linear Algebra☆120Updated 2 years ago
- 18.303 - Linear PDEs course☆142Updated last year
- 18.S096 - Applications of Scientific Machine Learning☆312Updated 2 years ago
- 18.330 Introduction to Numerical Analysis☆369Updated last year
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆334Updated 4 years ago
- Algorithms for Decision Making textbook☆530Updated 5 months ago
- A template for textbooks in the same style as Algorithms for Optimization☆363Updated 10 months ago
- 18.S096 three-week course at MIT☆261Updated 2 years ago
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆474Updated 2 months ago
- Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic☆506Updated 2 years ago
- Codes for the book "Julia Programming for Operations Research"☆196Updated 4 years ago
- Harvard Applied Math 205: Code Examples☆85Updated 2 years ago
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆732Updated 11 months ago
- A Julia package for disciplined convex programming☆580Updated 2 weeks ago
- Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)☆1,894Updated 3 weeks ago
- Problems from Algorithms for Decision Making☆48Updated 2 months ago
- ☆99Updated last month
- Decision making under uncertainty using the POMDPs.jl ecosystem taught by Robert Moss☆250Updated last year
- All typeset code blocks from the book, Algorithms for Decision Making.☆41Updated 2 years ago
- 18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning☆158Updated 5 months ago
- Bayesian Networks for Julia☆224Updated this week
- ☆95Updated 4 years ago
- A reinforcement learning package for Julia☆618Updated last month
- Port of the book Think Python to the Julia programming language☆555Updated 8 months ago
- ☆110Updated 3 years ago