JeanKossaifi / tensorly-notebooksLinks
Tensor methods in Python with TensorLy
☆442Updated 2 years ago
Alternatives and similar repositories for tensorly-notebooks
Users that are interested in tensorly-notebooks are comparing it to the libraries listed below
Sorting:
- Tensor Train decomposition on TensorFlow☆227Updated 4 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Python library for multilinear algebra and tensor factorizations☆406Updated 7 years ago
- Python implementation of the TT-Toolbox☆253Updated 8 months ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆893Updated last year
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- Fast Scattering Transform with CuPy/PyTorch☆294Updated 5 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆254Updated 7 years ago
- PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.☆288Updated 3 years ago
- Randomized Dimension Reduction Library☆117Updated 4 years ago
- Tools for loading standard data sets in machine learning☆205Updated 3 years ago
- Sample implementation of Neural Ordinary Differential Equations☆264Updated 6 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 7 years ago
- megaman: Manifold Learning for Millions of Points☆331Updated 2 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆266Updated 6 years ago
- Tensor Network Learning with PyTorch☆301Updated last year
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 7 years ago
- Structured Inference Networks for Nonlinear State Space Models☆275Updated 8 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆390Updated last year
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆110Updated 7 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆361Updated 6 years ago
- Tuning hyperparams fast with Hyperband☆595Updated 7 years ago
- ☆102Updated 7 years ago
- Code for experiments regarding importance sampling for training neural networks☆329Updated 4 years ago
- ☆252Updated 8 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆135Updated 6 years ago
- Deep neural network kernel for Gaussian process☆212Updated 5 years ago