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
  ☆226Updated 4 years ago
• tensorly / tensorly
  TensorLy: Tensor Learning in Python.
  ☆1,624Updated 3 months ago
• JSeam2 / Neural-Ordinary-Differential-Equations
  Sample implementation of Neural Ordinary Differential Equations
  ☆263Updated 6 years ago
• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆407Updated 7 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆890Updated last year
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆271Updated 4 years ago
• oseledets / ttpy
  Python implementation of the TT-Toolbox
  ☆249Updated 5 months ago
• idiap / importance-sampling
  Code for experiments regarding importance sampling for training neural networks
  ☆329Updated 3 years ago
• JeanKossaifi / ifi-summer-school
  Slides and notebooks for the IfI Summer School 2018 on Machine Learning
  ☆36Updated 7 years ago
• edouardoyallon / pyscatwave
  Fast Scattering Transform with CuPy/PyTorch
  ☆296Updated 5 years ago
• jacobgil / pytorch-tensor-decompositions
  PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
  ☆287Updated 3 years ago
• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆417Updated 8 years ago
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆115Updated 4 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆204Updated 2 years ago
• Tuyki / TT_RNN
  ☆102Updated 7 years ago
• ebigelow / tf-decompose
  Tensor decomposition implemented in TensorFlow
  ☆63Updated 6 years ago
• yaringal / ConcreteDropout
  Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
  ☆253Updated 6 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆361Updated 5 years ago
• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆328Updated 2 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 5 years ago
• wujian16 / Cornell-MOE
  A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
  ☆269Updated 5 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆488Updated 6 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 6 years ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆249Updated last year
• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆233Updated 6 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆594Updated 7 years ago
• kylemcdonald / Parametric-t-SNE
  Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
  ☆265Updated 6 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 2 years ago
• kumar-shridhar / Master-Thesis-BayesianCNN
  Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
  ☆264Updated 6 years ago