Alternatives and similar repositories for resvm

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

• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• alvarouc / mlp
  Multilayer Perceptron Keras wrapper for sklearn
  ☆69Updated 3 years ago
• bioinfo-cnb / bionmf-gpu
  NMF-mGPU web site:
  ☆27Updated 10 years ago
• yifeng-li / deep_learning
  Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano
  ☆23Updated 11 years ago
• EESI / PyFeast
  A Python interface to the Feature Selection Toolkit, contains JMI, BetaGamma, CMIM, CondMI, DISR, ICAP, and mRMR
  ☆19Updated 11 years ago
• aatapa / RLScore
  ☆68Updated last week
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 10 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 9 years ago
• nukui-s / tffactorization
  Implementations of matrix factorization or tensor factorization algorithms
  ☆32Updated 9 years ago
• travisbrady / py-soft-impute
  Python implementation of Mazumder and Hastie's softImpute for matrix completion
  ☆46Updated 10 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 4 months ago
• jaak-s / macau
  Bayesian Factorization with Side Information in C++ with Python wrapper
  ☆41Updated 3 years ago
• sysbio-vo / bnfinder
  BNFinder - tool for learning bayesian networks
  ☆52Updated 7 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• glouppe / kaggle-marinexplore
  Code for the Kaggle Marinexplore challenge
  ☆17Updated 12 years ago
• multi-label-classification / PCC
  Probabilistic Classifier Chains (PCC) algorithm solving the problem of Multi-Label Classification. For more information see: Krzysztof De…
  ☆15Updated 7 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 7 years ago
• jakevdp / lpproj
  Scikit-learn compatible Locality Preserving Projections in Python
  ☆95Updated 7 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• blei-lab / hdp
  Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
  ☆149Updated 8 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆37Updated 6 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 9 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 2 years ago
• tensorlib / tensorlib
  Yet another tensor library
  ☆23Updated 8 years ago
• uci-cbcl / tree-hmm
  Tree hidden Markov model for learning epigenetic states in multiple cell types
  ☆28Updated 12 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago