Alternatives and similar repositories for tensorly-notebooks:

Users that are interested in tensorly-notebooks are comparing it to the libraries listed below

• Bihaqo / t3f
  Tensor Train decomposition on TensorFlow
  ☆223Updated 4 years ago
• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆404Updated 6 years ago
• tensorly / tensorly
  TensorLy: Tensor Learning in Python.
  ☆1,608Updated last month
• oseledets / ttpy
  Python implementation of the TT-Toolbox
  ☆245Updated last month
• ebigelow / tf-decompose
  Tensor decomposition implemented in TensorFlow
  ☆63Updated 6 years ago
• rballester / tntorch
  Tensor Network Learning with PyTorch
  ☆295Updated 10 months ago
• jacobgil / pytorch-tensor-decompositions
  PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
  ☆283Updated 3 years ago
• timgaripov / TensorNet-TF
  TensorNet (TensorFlow implementation)
  ☆211Updated 7 years ago
• Bihaqo / TensorNet
  ☆139Updated 7 years ago
• Tuyki / TT_RNN
  ☆104Updated 7 years ago
• edouardoyallon / pyscatwave
  Fast Scattering Transform with CuPy/PyTorch
  ☆297Updated 5 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆887Updated 11 months ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 2 years ago
• idiap / importance-sampling
  Code for experiments regarding importance sampling for training neural networks
  ☆328Updated 3 years ago
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆115Updated 4 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 4 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆203Updated 2 years ago
• karpathy / pytorch-made
  MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
  ☆549Updated 6 years ago
• oseledets / TT-Toolbox
  The git repository for the TT-Toolbox
  ☆199Updated last month
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 5 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 6 years ago
• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆326Updated 2 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆485Updated 5 years ago
• ssydasheng / Bayesian_neural_network_papers
  Papers for Bayesian-NN
  ☆322Updated 5 years ago
• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆415Updated 7 years ago
• brain-research / nngp
  Deep neural network kernel for Gaussian process
  ☆203Updated 4 years ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆391Updated 11 months ago
• JeanKossaifi / ifi-summer-school
  Slides and notebooks for the IfI Summer School 2018 on Machine Learning
  ☆36Updated 6 years ago
• loshchil / SGDR
  ☆251Updated 8 years ago