markkm / math-for-mlLinks
Mathematical preliminaries for machine learning
☆19Updated 7 years ago
Alternatives and similar repositories for math-for-ml
Users that are interested in math-for-ml are comparing it to the libraries listed below
Sorting:
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆138Updated 5 years ago
- ☆275Updated 5 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆576Updated 5 years ago
- Resources, papers, tutorials☆127Updated 5 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆280Updated 7 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆116Updated 10 months ago
- Slides and lecture notes for the course 'machine learning I' taught at the Graduate School Neural Information Processing in Tuebingen.☆31Updated 10 years ago
- Materials for Bayesian Methods in Machine Learning Course☆92Updated 2 months ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆277Updated 6 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆149Updated 4 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…☆20Updated 6 years ago
- Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège☆412Updated 2 weeks ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 4 years ago
- Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC☆96Updated 6 years ago
- EE227C (Spring 2018) Course page☆230Updated 4 years ago
- Notebooks for "Probabilistic Machine Learning" book☆201Updated 3 years ago
- Code and assignment repository for the Imperial College Mathematics department Deep Learning course☆265Updated 6 years ago
- ☆197Updated last year
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆547Updated 6 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 7 years ago
- ☆59Updated 7 years ago
- Repository for CS282R: Robust Machine Learning at Harvard University.☆74Updated 7 years ago
- Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article☆50Updated 4 years ago
- ☆123Updated 7 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆181Updated 4 years ago
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆568Updated 2 years ago
- MLHEP'19 slides and notebooks☆44Updated 6 years ago
- ☆30Updated 5 years ago
- MLHEP-18 slides and stuff☆26Updated 7 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2019 (https://2019.probabilistic.ai/)☆20Updated 6 years ago