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☆40Updated 7 years ago
- временные ряды☆8Updated 8 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)☆9Updated 10 years ago
- Tensor Factorization via Matrix Factorization☆34Updated 8 years ago
- Extended Mean Field Restricted Boltzmann Machine☆17Updated 7 years ago
- ☆11Updated 8 years ago
- Here we will to store papers from bayesgroup.ru☆11Updated 8 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆23Updated 2 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆10Updated 9 years ago
- LibCP -- A Library for Conformal Prediction☆11Updated 9 years ago
- ☆14Updated 9 years ago
- Deep Learning DTU summer school 2015☆22Updated 8 years ago
- Bayesian methods in deep learning Summer School☆19Updated 7 years ago
- Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.☆26Updated 8 years ago
- Implementation of Counterfactual risk minimization☆26Updated 7 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- modular implementation of new algorithm☆13Updated 10 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Notes from Simons Institute program "Foundations of Machine Learning"☆13Updated 7 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 5 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 8 years ago
- ☆26Updated 6 years ago
- Capturing Structure Implicitly from Noisy Time-Series having Limited Data☆0Updated 6 years ago
- Lectures and materials for the Fall 2014 Skoltech numerical linear algebra course☆15Updated 9 years ago
- MLHEP 2015 materials (http://hse.ru/mlhep2015)☆19Updated 9 years ago
- ☆26Updated 8 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 7 years ago