vaseline555 / Algorithms-for-Optimization-PythonLinks
Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Tim A. Wheeler
☆47Updated 2 years ago
Alternatives and similar repositories for Algorithms-for-Optimization-Python
Users that are interested in Algorithms-for-Optimization-Python are comparing it to the libraries listed below
Sorting:
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆65Updated 6 months ago
- Nonlinear optimization solving with multiple Python libraries☆30Updated 4 years ago
- ☆78Updated 2 years ago
- Introduction to Gaussian Processes☆29Updated 6 years ago
- Neat Bayesian machine learning examples☆58Updated 4 months ago
- Mathematics for Machine Learning Lecture Notes☆38Updated 4 years ago
- ☆20Updated 2 years ago
- Programming for AI Practice☆14Updated 4 years ago
- Supporting material for Princeton ORF522☆13Updated 6 months ago
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated 11 months ago
- (Python, R, C) Fast approximations for the CDF of multivariate normal distributions☆23Updated 3 weeks ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆86Updated 6 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆24Updated 5 years ago
- ☆48Updated 4 months ago
- ☆87Updated 2 years ago
- BOTorch tutorials in Jupyter notebook format ready to be launched on Google Colab☆10Updated 2 years ago
- code for "Neural Jump Ordinary Differential Equations"☆30Updated 2 years ago
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆142Updated last year
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆58Updated last year
- ☆19Updated 9 months ago
- Source Code for 'Bayesian Optimization' by Peng Liu☆29Updated 2 years ago
- Core Mathematical Functions for Multi-Objective Optimization☆13Updated this week
- ☆84Updated 2 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆105Updated last year
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆53Updated last year
- Online Convex Optimization algorithms in Python☆12Updated 3 years ago
- Hands-On Simulation Modeling with Python, published by Packt☆68Updated 2 years ago
- Bayesian Learning and Neural Networks (jupyter book sources)☆54Updated 2 years ago
- ☆61Updated last year
- Source code for Bayesian Optimization in Action, published by Manning☆95Updated 2 years ago