physhik / Study-of-David-Mackay-s-book-Links
David Mackay's book review and problem solvings and own python codes, mathematica files
☆58Updated 8 years ago
Alternatives and similar repositories for Study-of-David-Mackay-s-book-
Users that are interested in Study-of-David-Mackay-s-book- are comparing it to the libraries listed below
Sorting:
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆116Updated 10 months ago
- legend☆209Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2019.☆130Updated 5 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆138Updated 5 years ago
- ☆275Updated 5 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆149Updated 4 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆72Updated 2 weeks ago
- Understanding nuts and bolts of neural networks with PyTorch☆33Updated 4 years ago
- ☆75Updated 6 years ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆75Updated 6 years ago
- List of resources for bayesian inference☆158Updated 6 years ago
- Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch☆158Updated 7 years ago
- Materials for Bayesian Methods in Machine Learning Course☆92Updated 2 months ago
- Site web of the Mathematical Tours☆508Updated last year
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆274Updated 4 years ago
- http://cranmer.github.io/stats-ds-book☆74Updated 4 years ago
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆122Updated 8 years ago
- Notebooks for "Probabilistic Machine Learning" book☆201Updated 3 years ago
- ☆48Updated 3 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆97Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆91Updated 7 years ago
- ☆64Updated 7 years ago
- Example codes for the book Applied Stochastic Differential Equations☆205Updated 3 months ago
- Implementation of Markov Chain Monte Carlo in Python from scratch☆226Updated 5 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆277Updated 6 years ago
- Repository for CS282R: Robust Machine Learning at Harvard University.☆74Updated 7 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube☆248Updated 7 years ago
- Learning some numerical linear algebra.☆72Updated 5 years ago
- Statistics and Machine Learning in Python☆71Updated 5 years ago