oseledets / nla2015
The main github repository for NLA2015 course
☆12Updated 8 years ago
Alternatives and similar repositories for nla2015:
Users that are interested in nla2015 are comparing it to the libraries listed below
- Exponential Machines implementation☆41Updated 2 weeks ago
- временные ряды☆8Updated 8 years ago
- modular implementation of new algorithm☆13Updated 10 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Bayesian methods in deep learning Summer School☆19Updated 7 years ago
- Extended Mean Field Restricted Boltzmann Machine☆17Updated 8 years ago
- MLHEP 2015 materials (http://hse.ru/mlhep2015)☆19Updated 9 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Here we will to store papers from bayesgroup.ru☆11Updated 8 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- Implementation of Counterfactual risk minimization☆26Updated 7 years ago
- ☆25Updated 8 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Presentations of the advanced topics in optimization☆11Updated 5 years ago
- gFM: An Efficient Solver for generalized Factorization Machine☆8Updated 8 years ago
- Implementation of PCA algorithm using Gram-Scmidt modification on NIPALS☆10Updated 9 years ago
- Boosting and ensemble learning in Python.☆54Updated 9 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated 2 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.☆9Updated last month
- Code for the arxiv paper☆9Updated 10 years ago
- MLSS 2016 material.☆22Updated 8 years ago
- solve LASSO formulation with Proximal Gradient Descent, Accelerated Gradient Descent, and Coordinate Gradient Descent☆21Updated 10 years ago
- Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)☆10Updated 10 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 5 years ago