hse-aml / bayesian-methods-for-mlLinks
Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
☆135Updated 4 years ago
Alternatives and similar repositories for bayesian-methods-for-ml
Users that are interested in bayesian-methods-for-ml are comparing it to the libraries listed below
Sorting:
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆148Updated 4 years ago
- Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC☆96Updated 6 years ago
- Repository for CS282R: Robust Machine Learning at Harvard University.☆73Updated 7 years ago
- ☆73Updated 6 years ago
- legend☆206Updated last year
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆275Updated 7 years ago
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆113Updated 4 months ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- ☆64Updated 7 years ago
- Advanced Machine Learning with Scikit-learn part I☆142Updated 5 years ago
- ☆231Updated 3 years ago
- 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 4 years ago
- Advanced Machine Learning with Scikit-learn part II☆164Updated 5 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆160Updated 5 years ago
- ☆133Updated last year
- ☆275Updated 5 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Materials for the course of machine learning at Imperial College organized by Yandex SDA☆84Updated 8 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆290Updated 7 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆147Updated 9 years ago
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 7 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆493Updated 6 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆92Updated 7 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 6 years ago
- Experimenting with and teaching probabilistic programming☆104Updated 3 years ago
- Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science☆91Updated 6 years ago
- Collection of probabilistic models and inference algorithms☆241Updated 5 years ago