JeanKossaifi / tensorly-notebooksLinks
Tensor methods in Python with TensorLy
☆444Updated 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☆228Updated 4 years ago
- TensorLy: Tensor Learning in Python.☆1,647Updated 3 weeks ago
- Sample implementation of Neural Ordinary Differential Equations☆264Updated 6 years ago
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- Python implementation of the TT-Toolbox☆255Updated 8 months ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894Updated last year
- Implementing Bayes by Backprop☆184Updated 6 years ago
- Python library for multilinear algebra and tensor factorizations☆407Updated 7 years ago
- ☆102Updated 7 years ago
- PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.☆288Updated 4 years ago
- Code for experiments regarding importance sampling for training neural networks☆328Updated 4 years ago
- Collection of probabilistic models and inference algorithms☆240Updated 5 years ago
- Tensor Network Learning with PyTorch☆303Updated last year
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 7 years ago
- Fast Scattering Transform with CuPy/PyTorch☆295Updated 5 years ago
- A curated list of resources dedicated to bayesian deep learning☆417Updated 8 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆253Updated 7 years ago
- Bayesian Optimization using GPflow☆272Updated 5 years ago
- Randomized Dimension Reduction Library☆117Updated 4 years ago
- Structured Inference Networks for Nonlinear State Space Models☆275Updated 8 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆361Updated 6 years ago
- Deep neural network kernel for Gaussian process☆212Updated 5 years ago
- Tools for loading standard data sets in machine learning☆205Updated 3 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆110Updated 7 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆236Updated 7 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆135Updated 6 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆245Updated 6 years ago
- ☆59Updated 6 years ago