Alternatives and similar repositories for causaltrail:

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

• snap-stanford / snap-dev
  SNAP repository for Ringo
  ☆14Updated 7 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 8 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 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
• jacobandreas / rnn-syn
  Analogs of Linguistic Structure in Deep Representations
  ☆19Updated 7 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• datamicroscopes / irm
  Infinite relational model (IRM) for datamicroscopes
  ☆14Updated 9 years ago
• albietz / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• galinngeorgiev / ACE
  code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585
  ☆14Updated 9 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 8 years ago
• npinto / asgd
  Averaged Stochastic Gradient Descent Classifiers
  ☆42Updated 12 years ago
• banilo / nips2015
  ☆14Updated 9 years ago
• FurongHuang / TensorDecomposition4TopicModeling
  ☆20Updated 7 years ago
• timvieira / learning-to-prune
  Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
  ☆22Updated 6 months ago
• tristandeleu / neural-gpu
  Theano implementation of the Neural GPU
  ☆15Updated 9 years ago
• matejbalog / gumbel-relatives
  Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick
  ☆17Updated 7 years ago
• shraman-rc / vae
  Fun with variational autoencoders.
  ☆11Updated 7 years ago
• timvieira / rl
  Reference implementation of algorithms for reinforcement learning and Markov decision processes.
  ☆11Updated 4 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 10 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• dirkweissenborn / mufuru
  Tensorflow Implementation of Multi-Function Recurrent Unit
  ☆23Updated 8 years ago
• chagaz / sfan
  Selecting features as (network) nodes
  ☆11Updated 6 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 6 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• tbroderick / streaming_vb
  This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…
  ☆41Updated 10 years ago
• tbroderick / bnp_tutorial
  ☆29Updated 7 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 11 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆11Updated last year
• shweta20gupta / knowledgeEmbedding
  Link Prediction using Knowledge Embedding in Tensorflow
  ☆13Updated 8 years ago