algorithmsbooks / decisionmaking-ancillariesLinks
Ancillaries for Algorithms for Decision Making
☆99Updated 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:
- Errata for Algorithms for Optimization book☆71Updated 3 months ago
- a visual dictionary of Bayesian Networks and Causal Inference.☆84Updated last week
- All typeset code blocks from the book, Algorithms for Decision Making.☆42Updated 2 years ago
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆205Updated last year
- Problems from Algorithms for Decision Making☆52Updated 5 months ago
- Linear-Algebra--Gilbert-Strang☆33Updated last year
- Jupyter notebooks associated with the Algorithms for Optimization textbook☆466Updated 3 years ago
- Notes for using Julia while learning calculus☆162Updated 2 weeks ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆115Updated last year
- Algorithms for Decision Making textbook☆536Updated 8 months ago
- Course 5SSD0 - Bayesian Machine Learning and Information Processing☆48Updated 3 months ago
- Website for the textbook Mathematical Methods in Data Science (MMiDS) by Sebastien Roch☆50Updated last month
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆339Updated 4 years ago
- Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook☆55Updated 3 years ago
- Slide decks for Algorithms for Optimization☆17Updated 3 years ago
- This repository contains examples for RxInfer.jl☆22Updated last week
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- Documentation and tutorials for the Turing language☆236Updated last week
- Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.☆61Updated 6 years ago
- ☆103Updated last month
- 18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning☆171Updated 8 months ago
- Source repository for QuantEcon Datascience☆28Updated 5 months ago
- Julia package for automated Bayesian inference on a factor graph with reactive message passing☆343Updated last week
- MIT_18.S097☆124Updated 2 years ago
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆514Updated 5 months ago
- Utilities for probabilistic ML☆36Updated last year
- Bayesian statistics graduate course☆356Updated 8 months ago
- Web page of Frank Nielsen☆24Updated 2 weeks ago
- Pluto notebooks accompanying the book Statistics With Julia (https://statisticswithjulia.org).☆82Updated 2 years ago
- Port of Statistical Rethinking (2nd edition) code to Julia☆133Updated 3 years ago