Alternatives and similar repositories for soft-tree:

Users that are interested in soft-tree are comparing it to the libraries listed below

• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• cod3licious / simec-theano
  SimEc code relying on the theano library - check out the simec repo instead for keras based code!
  ☆10Updated 7 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 15 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• albietz / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 8 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 8 years ago
• hycis / transfer_learning
  Mozi, Transfer Learning, Multi-Modal Learning, Theano
  ☆27Updated 9 years ago
• strin / DeepBayes
  Code for Max-Margin Deep Generative Models
  ☆12Updated 10 years ago
• amirsaffari / online-multiclass-lpboost
  Online Multi-Class LPBoost and Gradient Boosting
  ☆68Updated 10 years ago
• SkidanovAlex / ShallowNeuralDecisionForest
  Implementation of Deep Neural Decision Forest based on MSR paper
  ☆29Updated 9 years ago
• Ian09 / SupervisedDeepDocNADE
  A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970
  ☆41Updated 9 years ago
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 8 years ago
• lvdmaaten / metriclearning
  Torch package for metric learning.
  ☆43Updated 8 years ago
• dirkweissenborn / mufuru
  Tensorflow Implementation of Multi-Function Recurrent Unit
  ☆23Updated 8 years ago
• pmineiro / randembed
  Randomized embeddings for extreme learning
  ☆24Updated 9 years ago
• hunterlang / mpmz
  miniplaces2 deep residual network in neon
  ☆16Updated 9 years ago
• DeNeutoy / act-rte-inference
  ☆15Updated 8 years ago
• bmcfee / mlr
  Metric Learning to Rank
  ☆46Updated 11 years ago
• preddy5 / Residual-Learning-and-Stochastic-Depth
  Implementation of Residual Learning with Stochastic Depth http://arxiv.org/pdf/1603.09382v2.pdf
  ☆10Updated 8 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 10 years ago
• karlstratos / cca
  ☆10Updated 10 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 8 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 9 years ago
• soumith / cuda-convnet2.torch
  Torch7 bindings for cuda-convnet2 kernels!
  ☆40Updated 8 years ago
• MatthieuCourbariaux / AdversarialGradient
  A very simple variant of adversarial training that yields excellent results on MNIST
  ☆12Updated 9 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆36Updated last year
• YutingZhang / caffe
  Caffe: a fast open framework for deep learning.
  ☆13Updated 8 years ago