vsmolyakov / mlLinks
machine learning
☆39Updated 7 years ago
Alternatives and similar repositories for ml
Users that are interested in ml are comparing it to the libraries listed below
Sorting:
- tutorials that may or may not turn into a book☆50Updated 5 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Sampling via Moment Sharing☆11Updated 10 years ago
- Slides and lecture notes for the course 'machine learning I' taught at the Graduate School Neural Information Processing in Tuebingen.☆31Updated 10 years ago
- Various packages used by PMTK.☆56Updated 6 years ago
- YAGTOM: Yet Another Guide TO Matlab☆57Updated 12 years ago
- A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/☆83Updated 9 years ago
- Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we a…☆41Updated 10 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 graphical models in python☆24Updated 6 years ago
- Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).☆71Updated 7 years ago
- TensorFlow Probability Tutorial☆38Updated 6 years ago
- Duke Machine Learning Winter School 2019☆27Updated 7 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆138Updated 5 years ago
- ☆29Updated 6 years ago
- Multi-Information Source Optimization☆24Updated 6 years ago
- Notes + notebooks on EM + variational EM algorithms for Bayesian methods tutorial☆42Updated 7 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆59Updated 11 years ago
- Kernelized Bayesian Matrix Factorization☆17Updated 7 years ago
- The sample code to study non-negative matrix and tensor factorization.☆38Updated 5 years ago
- ☆14Updated 8 years ago
- Dirichlet Process K-means☆49Updated last year
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 7 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- A collection of MATLAB data sets used by PMTK.☆57Updated 12 years ago
- Variational Inference in Gaussian Mixture Model☆61Updated 5 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 3 years ago
- Materials for Bayesian Methods in Machine Learning Course☆92Updated 2 months ago