probml / probml-notebooksLinks
Notebooks for "Probabilistic Machine Learning" book
☆201Updated 3 years ago
Alternatives and similar repositories for probml-notebooks
Users that are interested in probml-notebooks are comparing it to the libraries listed below
Sorting:
- ☆91Updated 2 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆300Updated 5 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆116Updated 10 months ago
- legend☆210Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆226Updated last year
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 5 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆181Updated 4 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- ☆85Updated 5 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 5 years ago
- Some small scale experiments for my blog posts 📝☆80Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆92Updated 7 years ago
- Neat Bayesian machine learning examples☆58Updated last week
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Bayesian Bandits☆68Updated 2 years ago
- 100 exercises to learn JAX☆601Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆408Updated 3 years ago
- All about the fundamental blocks of TF and JAX!☆277Updated 4 years ago
- Understanding nuts and bolts of neural networks with PyTorch☆33Updated 5 years ago
- Neural Networks and Deep Learning, NUS CS5242, 2021☆191Updated 4 years ago
- An implementation of convolutional networks in NumPy!☆83Updated 4 years ago
- ☆195Updated last month
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆96Updated 3 years ago
- Template for data generator with PyTorch☆136Updated 7 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆277Updated 6 years ago
- Lightweight Hyperparameter Optimization 🚂☆149Updated last year
- A walkthrough of transformer architecture code☆370Updated last year
- ☆151Updated 4 years ago
- Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!☆231Updated last year