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
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated 11 months ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• MatthieuCourbariaux / AdversarialGradient
  A very simple variant of adversarial training that yields excellent results on MNIST
  ☆12Updated 9 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
• twitter-archive / torch-thrift
  A Thrift codec for Torch
  ☆29Updated 3 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• tristandeleu / neural-gpu
  Theano implementation of the Neural GPU
  ☆15Updated 9 years ago
• soumith / deep_gitstats
  Based on SciPy's normalized git stats, adapted for Deep Learning frameworks
  ☆16Updated 8 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• ARCambridge / MXNet_linalg_examples
  Examples of building probabilistic models with MXNet linear algebra operators
  ☆23Updated 7 years ago
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 8 years ago
• djsutherland / py-sdm
  Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.
  ☆48Updated 8 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• shraman-rc / vae
  Fun with variational autoencoders.
  ☆11Updated 7 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• kkurach / math_learning
  Learning to Discover Efficient Mathematical Identities
  ☆48Updated 10 years ago
• szagoruyko / openai-gemm.pytorch
  PyTorch bindings for openai-gemm
  ☆20Updated 8 years ago
• RobinKa / gsdr
  Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…
  ☆24Updated 8 years ago
• tboquet / python-alp
  a machine learning platform for teams
  ☆19Updated 7 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆41Updated last month
• albanD / adaptive-neural-compilation
  ☆58Updated 8 years ago
• jwittenbach / aws-tensorflow-setup
  Install TensorFlow on AWS GPU-instance
  ☆28Updated 8 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• mechaman / HPOptim
  Use Spearmint via Torch.
  ☆9Updated 9 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago