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:
- Slides and lecture notes for the course 'machine learning I' taught at the Graduate School Neural Information Processing in Tuebingen.☆30Updated 9 years ago
- tutorials that may or may not turn into a book☆49Updated 5 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
- A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression/☆82Updated 9 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆137Updated 5 years ago
- Variational Inference in Gaussian Mixture Model☆60Updated 5 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 5 years ago
- Sampling via Moment Sharing☆11Updated 10 years ago
- TensorFlow Probability Tutorial☆38Updated 6 years ago
- David Mackay's book review and problem solvings and own python codes, mathematica files☆58Updated 8 years ago
- Bayesian Gaussian mixture models in Python.☆64Updated 2 years ago
- noiseless/nonnegative sparse recovery and feature retrieval via compressed sensing☆39Updated 7 years ago
- Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).☆71Updated 6 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆54Updated 6 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆148Updated 4 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 2 years ago
- ☆14Updated 8 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.☆104Updated 12 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated 2 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆44Updated 10 years ago
- YAGTOM: Yet Another Guide TO Matlab☆57Updated 11 years ago
- ☆74Updated 6 years ago
- Multi-Information Source Optimization☆24Updated 6 years ago
- Pure Python/Numpy implementation of the Nelder-Mead algorithm.☆125Updated 4 years ago
- ☆135Updated 3 years ago
- Probabilistic graphical models in python☆24Updated 6 years ago
- Various packages used by PMTK.☆56Updated 6 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- A Recurrent Neural Network Toolbox for Python and Matlab☆102Updated 5 years ago