hottbox / hottbox-tutorials
HOTTBOX: Higher Order Tensors ToolBOX. Tutorials
☆38Updated last year
Alternatives and similar repositories for hottbox-tutorials:
Users that are interested in hottbox-tutorials are comparing it to the libraries listed below
- HOTTBOX: Higher Order Tensors ToolBOX.☆172Updated 5 years ago
- ☆26Updated 6 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 6 years ago
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Randomized Dimension Reduction Library☆115Updated 3 years ago
- Several implementations of the kernel-based activation functions☆61Updated 5 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆22Updated 2 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Exponential Machines implementation☆41Updated 3 weeks ago
- A collection of Gaussian process models☆30Updated 7 years ago
- A Python convex optimization package using proximal splitting methods☆111Updated last year
- Automatic differentiation + optimization☆103Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated 2 years ago
- ☆139Updated 7 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 6 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Randomized Tensor Decompositions☆30Updated 8 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆105Updated 7 years ago
- Repository for Chained Gaussian Processes☆14Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch☆49Updated 4 years ago
- Tensor Factorization via Matrix Factorization☆34Updated 9 years ago
- ☆80Updated 7 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 9 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year