JeanKossaifi / tensorly-notebooksLinks
Tensor methods in Python with TensorLy
☆445Updated 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
- TensorLy: Tensor Learning in Python.☆1,658Updated 2 months ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894Updated last year
- Implementing Bayes by Backprop☆184Updated 6 years ago
- PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.☆288Updated 4 years ago
- Randomized Dimension Reduction Library☆120Updated 4 years ago
- Tensor decomposition implemented in TensorFlow☆63Updated 6 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 7 years ago
- Python library for multilinear algebra and tensor factorizations☆407Updated 7 years ago
- Code for experiments regarding importance sampling for training neural networks☆328Updated 4 years ago
- Fast Scattering Transform with CuPy/PyTorch☆295Updated 5 years ago
- Tools for loading standard data sets in machine learning☆206Updated 3 years ago
- Collection of probabilistic models and inference algorithms☆240Updated 5 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 7 years ago
- ☆103Updated 7 years ago
- Sample implementation of Neural Ordinary Differential Equations☆264Updated 7 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆236Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆253Updated 7 years ago
- Bayesian Optimization using GPflow☆274Updated 5 years ago
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 7 years ago
- A curated list of resources dedicated to bayesian deep learning☆417Updated 8 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆362Updated 6 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated last year
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆135Updated 7 years ago
- Tensor Network Learning with PyTorch☆305Updated last year
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆344Updated 5 years ago
- MADE (Masked Autoencoder Density Estimation) implementation in PyTorch☆588Updated 7 years ago
- Deep neural network kernel for Gaussian process☆212Updated 5 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆341Updated 3 years ago