probml / pml2-bookLinks
Probabilistic Machine Learning: Advanced Topics
☆1,500Updated 6 months ago
Alternatives and similar repositories for pml2-book
Users that are interested in pml2-book are comparing it to the libraries listed below
Sorting:
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,402Updated 6 months ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,938Updated last month
- "Deep Generative Modeling": Introductory Examples☆1,264Updated 2 months ago
- Pen and paper exercises in machine learning☆2,525Updated last year
- Companion webpage for the book "Bayesian Optimization" by Roman Garnett☆926Updated last year
- ☆1,465Updated 3 years ago
- Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023☆3,007Updated 2 weeks ago
- NYU Deep Learning Spring 2021☆1,645Updated last month
- Course notes☆731Updated last year
- 100 exercises to learn JAX☆592Updated 3 years ago
- 🧠 A study guide to learn about Transformers☆1,612Updated 2 years ago
- Awesome resources on normalizing flows.☆1,581Updated 4 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,550Updated last week
- JAX - A curated list of resources https://github.com/google/jax☆1,964Updated 2 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…☆764Updated last year
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- ☆551Updated last year
- ☆824Updated 7 months ago
- My Own Solution Manual of PRML☆998Updated 4 years ago
- Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)☆1,961Updated last year
- Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org☆460Updated last year
- Curated list of interactive ML demos☆356Updated 7 months ago
- ML Collections is a library of Python Collections designed for ML use cases.☆994Updated last week
- EPFL Course - Optimization for Machine Learning - CS-439☆1,355Updated 4 months ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆189Updated 2 years ago
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,256Updated 2 years ago
- Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation☆1,487Updated 2 years ago
- A Library for Uncertainty Quantification.☆919Updated 6 months ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,680Updated 10 months ago
- ☆238Updated 2 years ago