Alternatives and similar repositories for cpm

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

• pmineiro / randembed
  Randomized embeddings for extreme learning
  ☆24Updated 9 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 10 years ago
• msegala / Kaggle-National_Data_Science_Bowl
  ☆15Updated 9 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 9 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• caglar / adasecant_wshp_paper
  Code for the arxiv paper
  ☆9Updated 10 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 10 years ago
• bwallace / curious_snake
  an active learning framework in python
  ☆44Updated 9 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated last month
• matpalm / rnn_lm
  various simple RNNs trained on synthetic grammars
  ☆30Updated 9 years ago
• ipod825 / keraflow
  ☆29Updated 7 years ago
• kastnerkyle / SciPy2015
  Talk for SciPy2015 "Deep Learning: Tips From The Road"
  ☆44Updated 10 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
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 9 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 10 years ago
• 5vision / kaggle_allen
  ☆29Updated 9 years ago
• felixlaumon / nolearn_utils
  Utilities for nolearn.lasagne
  ☆21Updated 8 years ago
• cornelltech / snack
  Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings
  ☆50Updated last year
• mfaruqui / sparse-coding
  Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
  ☆55Updated 7 years ago
• wangkobe88 / Venus
  Feature Engineering ToolBox
  ☆8Updated 10 years ago
• shashankg7 / glove-theano
  GloVe Word Embedding model's implementation in theano
  ☆36Updated 8 years ago
• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆41Updated 8 years ago
• kyunghyuncho / skip-thoughts
  ☆23Updated 10 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago