Alternatives and similar repositories for stochs

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

• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 11 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 9 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• shraman-rc / vae
  Fun with variational autoencoders.
  ☆11Updated 7 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated last year
• 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
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• shawnLeeZX / akid
  akid is a python package written for doing research in Neural Network.
  ☆14Updated 2 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• MatthieuCourbariaux / AdversarialGradient
  A very simple variant of adversarial training that yields excellent results on MNIST
  ☆12Updated 9 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• arayabrain / RecurrentAutoencoder
  Sample code for generative recurrent autoencoders.
  ☆25Updated 8 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 8 years ago
• ThomasMiconi / BOHP_RNN
  Backprop training of recurrent neural networks with Hebbian plastic connections
  ☆20Updated 3 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• tristandeleu / neural-gpu
  Theano implementation of the Neural GPU
  ☆15Updated 9 years ago
• Avmb / lowrank-highwaynetwork
  Low-rank Highway Networks
  ☆13Updated 9 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• preddy5 / Residual-Learning-and-Stochastic-Depth
  Implementation of Residual Learning with Stochastic Depth http://arxiv.org/pdf/1603.09382v2.pdf
  ☆10Updated 9 years ago
• thomlake / pytorch-notebooks
  random pytorch hacks
  ☆26Updated 7 years ago
• 222464 / MiniNeoRL
  Simple, small, fully-connected Python version of NeoRL
  ☆11Updated 9 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• CW-Huang / BayesianHypernet
  ☆17Updated 7 years ago
• jaanli / proximity_vi
  This code accompanies the proximity variational inference paper.
  ☆18Updated 6 years ago
• shashankg7 / Visual-Question-Answering
  Visual Question Answering system's different implementations
  ☆10Updated 8 years ago