Alternatives and similar repositories for LowRankPropagation:

Users that are interested in LowRankPropagation are comparing it to the libraries listed below

• cnel / itl-ae
  Information Theoretic Learning Auto-encoders
  ☆58Updated 9 years ago
• arayabrain / RecurrentAutoencoder
  Sample code for generative recurrent autoencoders.
  ☆25Updated 8 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆40Updated 9 years ago
• schenker / image-learner
  Training a neural network to map from x,y of an images pixels to r,g,b.
  ☆76Updated 8 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• jwittenbach / aws-tensorflow-setup
  Install TensorFlow on AWS GPU-instance
  ☆28Updated 8 years ago
• galinngeorgiev / ACE
  code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585
  ☆14Updated 9 years ago
• syhw / DL4H
  Deep learning for hackers: a hands-on approach to machine learning and deep learning.
  ☆68Updated 10 years ago
• wjyoon / 2048_deepql_torch
  ☆18Updated 8 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 9 years ago
• kuprel / pycaffe-recurrent
  IPython notebook for training multilayer LSTM and RNN networks with pycaffe
  ☆53Updated 9 years ago
• yaolubrain / DOSNES
  Doubly Stochastic Neighbor Embedding on Spheres
  ☆59Updated 5 years ago
• DeloitteHux-Old / proficiency-metric
  ☆28Updated 8 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• nihit / TensorFlow101
  Introduction to TensorFlow
  ☆55Updated 8 years ago
• colah / Visualizing-Representations
  ☆20Updated 7 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 9 years ago
• jonsedar / tsne_presentation
  Quick & dirty repo for hosting the Notebook for t-SNE presentation at delivered at Python Quants and PyData London meetups
  ☆9Updated 9 years ago
• ellisonbg / vizarray
  A Python package for visualizing 1d and 2d NumPy arrays
  ☆18Updated 9 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• colah / Motivated-Topology
  A topology textbook with a hubristic title
  ☆29Updated 9 years ago
• nenadmarkus / nets-and-trees
  This demo shows how to learn a neural network on top of decision trees
  ☆32Updated 7 years ago
• petered / plato
  A library built on top of Theano. TUTORIAL:
  ☆39Updated 6 years ago
• keplr-io / picard
  Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.
  ☆52Updated 8 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• ejhumphrey / icml16-dml
  Deep Manifold Learning on Music Audio
  ☆35Updated 8 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆75Updated 6 years ago