epfml / OptML_courseLinks
EPFL Course - Optimization for Machine Learning - CS-439
☆1,363Updated 5 months ago
Alternatives and similar repositories for OptML_course
Users that are interested in OptML_course are comparing it to the libraries listed below
Sorting:
- Course notes☆737Updated last year
- ☆240Updated 3 years ago
- "Deep Generative Modeling": Introductory Examples☆1,273Updated 4 months ago
- My Own Solution Manual of PRML☆1,002Updated 4 years ago
- EPFL Machine Learning Course, Fall 2025☆1,998Updated 3 weeks ago
- Practical assignments of the Deep|Bayes summer school 2019☆834Updated 5 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆152Updated last year
- ☆827Updated 8 months ago
- Probabilistic Machine Learning: Advanced Topics☆1,510Updated 3 weeks ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023☆3,058Updated 2 months ago
- Notebooks about Bayesian methods for machine learning☆1,905Updated last year
- This introduces a suggestion of mathematical notation protocol for machine learning.☆493Updated last year
- Code / solutions for Mathematics for Machine Learning (MML Book)☆1,198Updated 3 months ago
- Differentiable convex optimization layers☆2,035Updated last week
- Course notes for CS228: Probabilistic Graphical Models.☆1,989Updated 6 months ago
- The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…☆776Updated 2 years ago
- LaTeX files for the Deep Learning book notation☆1,841Updated 2 years ago
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆562Updated 3 weeks ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆305Updated 3 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,505Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆197Updated 2 years ago
- Self-study on Larry Wasserman's "All of Statistics"☆1,197Updated 3 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆181Updated 4 years ago
- Collection of LaTeX resources and examples.☆557Updated 3 years ago
- Repository for my convex optimization course.☆53Updated 4 years ago
- MPhil Machine Learning and Machine Intelligence @ University of Cambridge☆52Updated 6 years ago
- Bayesian Deep Learning: A Survey☆518Updated 2 months ago
- JAX - A curated list of resources https://github.com/google/jax☆2,004Updated this week
- Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)☆2,851Updated 2 years ago