Alternatives and similar repositories for tf-decompose:

Users that are interested in tf-decompose are comparing it to the libraries listed below

• Bihaqo / TensorNet
  ☆138Updated 7 years ago
• kuleshov / tensor-factorization
  Tensor Factorization via Matrix Factorization
  ☆34Updated 9 years ago
• Tuyki / TT_RNN
  ☆103Updated 6 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 3 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆41Updated 7 years ago
• tkchris93 / ForwardThinking
  Forward Thinking NIPS 2017
  ☆106Updated 7 years ago
• timgaripov / TensorNet-TF
  TensorNet (TensorFlow implementation)
  ☆210Updated 7 years ago
• JeanKossaifi / ifi-summer-school
  Slides and notebooks for the IfI Summer School 2018 on Machine Learning
  ☆36Updated 6 years ago
• fabianp / group_lasso
  ☆39Updated 12 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆41Updated 5 years ago
• larsmaaloee / auxiliary-deep-generative-models
  Deep generative models for semi-supervised learning.
  ☆108Updated 8 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 5 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆72Updated 8 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 years ago
• mgermain / MADE
  MADE: Masked Autoencoder for Distribution Estimation
  ☆101Updated 4 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• ispamm / kernel-activation-functions
  Several implementations of the kernel-based activation functions
  ☆61Updated 5 years ago
• Bihaqo / TT-MRF
  ☆14Updated 9 years ago
• jingli9111 / EUNN-tensorflow
  Efficient Unitary Neural Network(EUNN) implementation in Tensorflow
  ☆73Updated 5 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 5 years ago
• ucla-vision / parle
  ☆38Updated 6 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆63Updated 6 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆47Updated 9 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆86Updated 8 years ago
• aschein / bptf
  Bayesian Poisson tensor factorization
  ☆57Updated 3 months ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆65Updated 7 years ago
• jamesmcinerney / vbmm
  Variational inference for Gaussian mixture models
  ☆34Updated 11 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago