asl-epfl / inference-learning-data-2022-pythonLinks
This page contains Python codes for the chapters appearing in all 3 volumes of the work "Sayed, Ali. H., Inference and Learning from Data, vols. 1-3, Cambridge University Press, 2022". Matlab codes are also available. For additional information, visit the authors website.
☆28Updated last year
Alternatives and similar repositories for inference-learning-data-2022-python
Users that are interested in inference-learning-data-2022-python are comparing it to the libraries listed below
Sorting:
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆195Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆223Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆132Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Notebooks for the "Deep Learning with JAX" book☆162Updated 6 months ago
- ML algorithms in depth☆270Updated last year
- Deep Learning, an Energy Approach☆225Updated 6 months ago
- Code for the book "The Elements of Differentiable Programming".☆278Updated 5 months ago
- Advanced Topics in Artificial Intelligence, NUS CS6208, 2023☆326Updated 2 years 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…☆774Updated 2 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- About A collection of AWESOME things about information geometry Topics☆172Updated last year
- ☆148Updated 6 months ago
- Interactive textbook on state-space models☆198Updated last year
- ☆89Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Step by step explanation of 2D convolution implemented as matrix multiplication using toeplitz matrices☆76Updated 3 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆150Updated last year
- The boundary of neural network trainability is fractal☆221Updated last year
- Machine Learning with Symbolic Tensors☆352Updated 3 weeks ago
- Course material for 1RT700 Statistical Machine Learning☆64Updated 2 months ago
- ☆31Updated 4 months ago
- David Mackay's book review and problem solvings and own python codes, mathematica files☆58Updated 8 years ago
- CUDA implementation of Tractable Approximate Gaussian Inference☆44Updated last week
- Representation Learning MSc course Summer Semester 2023☆85Updated 2 years ago
- ☆54Updated last year
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)☆528Updated 3 years ago
- Compositional Linear Algebra☆503Updated 4 months ago
- Simple problems implemented in CUDA C☆31Updated 8 months ago