Alternatives and similar repositories for bbho:

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

• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 8 years ago
• jwittenbach / aws-tensorflow-setup
  Install TensorFlow on AWS GPU-instance
  ☆28Updated 8 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 8 years ago
• cilvrRG / DeepLearn-Theory
  Topics on theoretical, mathematical aspects of DL
  ☆72Updated 8 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 8 years ago
• lvdmaaten / metriclearning
  Torch package for metric learning.
  ☆43Updated 8 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 years ago
• mphuget / NIPS2016
  This project collects the different accepted papers and their link to Arxiv or Gitxiv
  ☆17Updated 8 years ago
• sancha / CS228T.2012
  The programming assignments from CS228T offered in Spring 2012 at Stanford
  ☆40Updated 12 years ago
• erogol / StudyAdversarials
  Some of my experiments targeting adversarial instances
  ☆12Updated 7 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• approximateinference / approximateinference.github.io
  NeurIPS workshop on Advances in Approximate Bayesian Inference
  ☆48Updated this week
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 8 years ago
• Unbabel / sparsemax
  ☆9Updated 8 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• oir / soft-tree
  Soft Decision Trees (code for ICPR 21 paper)
  ☆32Updated 11 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago
• kkurach / math_learning
  Learning to Discover Efficient Mathematical Identities
  ☆48Updated 10 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆22Updated 9 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• jluttine / variational-bayes-book
  Open access book on variational Bayesian methods written collaboratively
  ☆28Updated 10 years ago
• yuandong-tian / ICML17_ReLU
  ☆29Updated 7 years ago
• kastnerkyle / SciPy2015
  Talk for SciPy2015 "Deep Learning: Tips From The Road"
  ☆44Updated 9 years ago