algorithmsbooks / decisionmaking-ancillariesLinks
Ancillaries for Algorithms for Decision Making
☆102Updated last year
Alternatives and similar repositories for decisionmaking-ancillaries
Users that are interested in decisionmaking-ancillaries are comparing it to the libraries listed below
Sorting:
- All typeset code blocks from the book, Algorithms for Decision Making.☆42Updated 2 years ago
- Problems from Algorithms for Decision Making☆53Updated 7 months ago
- Errata for Algorithms for Optimization book☆71Updated 5 months ago
- Jupyter notebooks associated with the Algorithms for Optimization textbook☆472Updated 3 years ago
- Notes for using Julia while learning calculus☆164Updated 3 weeks ago
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆342Updated 5 years ago
- a visual dictionary of Bayesian Networks and Causal Inference.☆85Updated 2 months ago
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆230Updated 3 weeks ago
- Algorithms for Decision Making textbook☆540Updated last month
- Slide decks for Algorithms for Optimization☆18Updated 3 years ago
- Port of Statistical Rethinking (2nd edition) code to Julia☆135Updated 3 years ago
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆532Updated 7 months ago
- MIT_18.S097☆125Updated 2 years ago
- 3 Hour Workshop for JuliaCon 2021☆68Updated 3 years ago
- Data Science in Julia With Hackers☆121Updated 2 years ago
- ☆110Updated 4 years ago
- Dynamic Programming Volume 1☆111Updated last year
- Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook☆58Updated 3 years ago
- Pluto notebooks accompanying the book Statistics With Julia (https://statisticswithjulia.org).☆81Updated 2 years ago
- ☆102Updated last week
- Julia for Machine Learning course at TU Berlin☆265Updated 3 weeks ago
- Building dynamical systems compositionally☆73Updated this week
- Documentation and tutorials for the Turing language☆236Updated this week
- Decision making under uncertainty using the POMDPs.jl ecosystem taught by Robert Moss☆260Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆125Updated last year
- Bayesian statistics graduate course☆361Updated last week
- Utilities for probabilistic ML☆36Updated 2 years ago
- Demos for "Linear Algebra for DS, ML, and SP" book☆70Updated last week
- Lecture notes for the "Randomised and Advanced algorithms" class developed for the University of Sydney.☆20Updated 7 months ago
- Automated Bayesian model discovery for time series data☆81Updated last week