mharradon / LowRankPropagation

Related projects ⓘ

Alternatives and complementary repositories for LowRankPropagation

• cnel / itl-ae
  Information Theoretic Learning Auto-encoders
  ☆57Updated 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
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• kuprel / pycaffe-recurrent
  IPython notebook for training multilayer LSTM and RNN networks with pycaffe
  ☆53Updated 9 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆39Updated 9 years ago
• wjyoon / 2048_deepql_torch
  ☆18Updated 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
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 9 years ago
• DeloitteHux-Old / proficiency-metric
  ☆28Updated 8 years ago
• EvoML / evolved-forests
  Using GP and metafeatures to grow better forests for prediction.
  ☆10Updated 8 years ago
• datacratic / jml
  Jeremy's Machine Learning Library
  ☆32Updated 7 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 9 years ago
• csenn / nn-visualizer
  ☆52Updated 8 years ago
• kastnerkyle / SciPy2015
  Talk for SciPy2015 "Deep Learning: Tips From The Road"
  ☆44Updated 9 years ago
• thierry-silbermann / libfm_python
  ☆10Updated 9 years ago
• posterior / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆16Updated 7 months ago
• rohit-jain / parzer
  Statistical Dependency Parser using SVM as proposed by Yamada et al
  ☆29Updated 8 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 9 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 7 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated 6 months ago
• petered / plato
  A library built on top of Theano. TUTORIAL:
  ☆39Updated 6 years ago
• schenker / image-learner
  Training a neural network to map from x,y of an images pixels to r,g,b.
  ☆76Updated 7 years ago
• ArmenAg / GravitationalClustering
  New supervised learning method that works through mimicking gravity
  ☆47Updated 8 years ago
• stan-dev / nomad
  Fast autodiff.
  ☆19Updated 9 years ago