Alternatives and similar repositories for pmtkdata

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

• probml / pmtksupport
  Various packages used by PMTK.
  ☆55Updated 5 years ago
• sancha / CS228T.2012
  The programming assignments from CS228T offered in Spring 2012 at Stanford
  ☆40Updated 12 years ago
• jaberg / DeepLearningBenchmarks
  ☆73Updated 13 years ago
• zellyn / deeplearning-class-2011
  Code for Deep Learning class at Google
  ☆73Updated 13 years ago
• qiuwch / DeepLearning
  Deep learning code by Hinton
  ☆93Updated 13 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• xinlin192 / GraphicalModel
  Courera Version of Graphical Model.. Cooperate with Jian Guo.
  ☆122Updated 8 years ago
• jngiam / sparseFiltering
  Sparse Filtering
  ☆219Updated 13 years ago
• kyunghyuncho / deepmat
  Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
  ☆189Updated 10 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 8 years ago
• lvdmaaten / metriclearning
  Torch package for metric learning.
  ☆43Updated 8 years ago
• kuleshov / cs228-notes
  Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)
  ☆30Updated 8 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 5 years ago
• zygmuntz / kaggle-blackbox
  Deep learning made easy
  ☆116Updated 11 years ago
• BlueHephaestus / bbho
  Bayesian Black Box Hyper Parameter Optimizer
  ☆12Updated 8 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• yaoli / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆317Updated 9 years ago
• kastnerkyle / SciPy2015
  Talk for SciPy2015 "Deep Learning: Tips From The Road"
  ☆44Updated 9 years ago
• yoshua / dl-nature-review
  review of Deep Learning for Nature
  ☆31Updated 9 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
• UCBAIR / decaf-release
  Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computa…
  ☆231Updated 9 years ago
• davharris / mcmc-tutorial
  Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo
  ☆52Updated 12 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago
• zackchase / mxnet-slides
  Slides from MXNet tutorials
  ☆51Updated 7 years ago
• amueller / mlss_2015
  Material for open source machine learning practical
  ☆21Updated 9 years ago
• DL-Benchmarks / DL-Benchmarks
  Comparative Study of Deep Learning Software Frameworks
  ☆70Updated 8 years ago
• bobye / d2suite
  A C++ package for discrete distribution based large-scale data processing framework
  ☆2Updated 7 years ago