Alternatives and similar repositories for KyotoUx-009x

Users that are interested in KyotoUx-009x are comparing it to the libraries listed below

• ubcmatlabguide / ubcmatlabguide.github.io
  YAGTOM: Yet Another Guide TO Matlab
  ☆57Updated 12 years ago
• makeyourownneuralnetwork / complex_valued_neuralnetwork
  ☆44Updated 9 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆149Updated 4 years ago
• PhDP / mlbop
  Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).
  ☆71Updated 7 years ago
• zygmuntz / kaggle-amazon
  Amazon access control challenge
  ☆25Updated 11 years ago
• probml / pmtksupport
  Various packages used by PMTK.
  ☆56Updated 6 years ago
• jrjohansson / numerical-python-book-code
  ☆178Updated last year
• automl / ChaLearn_Automatic_Machine_Learning_Challenge_2015
  ☆11Updated 9 years ago
• cliburn / sta-663-2017
  Notebooks, worksheets and homework for STA 663 class
  ☆43Updated 8 years ago
• StackOverflowMATLABchat / NeuralNetPlayground
  A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/
  ☆73Updated 8 years ago
• oseledets / nla2015
  The main github repository for NLA2015 course
  ☆12Updated 9 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 6 years ago
• vrdmr / CS273a-Introduction-to-Machine-Learning
  Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we a…
  ☆41Updated 10 years ago
• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 12 years ago
• cnel / KernelAdaptiveFiltering
  Kernel Adaptive Filtering: A Comprehensive Introduction
  ☆43Updated 10 years ago
• abursuc / dldiy-practicals
  Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS
  ☆22Updated 5 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 8 years ago
• sdrogers / fcmlcode
  ☆135Updated 4 years ago
• jaimeps / whale-sound-classification
  Whale sound detection using spectrograms, template matching and gradient boosting
  ☆30Updated 9 years ago
• benanne / kaggle-whales
  code for the Whale Detection Challenge competition on Kaggle
  ☆39Updated 12 years ago
• drumichiro / nmf-and-ntf
  The sample code to study non-negative matrix and tensor factorization.
  ☆38Updated 5 years ago
• hyperopt / hyperopt-gpsmbo
  Gaussian Process optimization algorithm for Hyperopt
  ☆24Updated 11 years ago
• davidbarber / Julia0p6ProbabilisticInferenceEngine
  Basic probability manipulation routines for discrete variables
  ☆29Updated 8 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 8 years ago
• nipunbatra / ProgramaticallyUnderstandingSeries
  ☆28Updated 2 years ago
• LouisFoucard / MC_DCNN
  Multi channel deep convolutional neural network for time series classification
  ☆55Updated 9 years ago
• pbrakel / anica
  Adversarial Non-linear Independent Component Analysis
  ☆50Updated 8 years ago
• abietti / online_hmm
  Online EM algorithms for hidden Markov and semi-Markov models + applications to audio segmentation and clustering
  ☆73Updated 10 years ago
• probml / pmtkdata
  A collection of MATLAB data sets used by PMTK.
  ☆57Updated 12 years ago
• ExtremeLearningMachines / ELM-LRF
  Local Receptive Fields Based Extreme Learning Machine
  ☆33Updated 10 years ago