Alternatives and similar repositories for pySMAC:

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

• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• allenai / brat
  brat rapid annotation tool (brat) - for all your textual annotation needs
  ☆10Updated 7 years ago
• albietz / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆22Updated 10 years ago
• matpalm / neural_prob_lang_model
  hacky exploratory variants on NN language models
  ☆9Updated 9 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• bdewilde / pygotham_2016
  code and slides for my PyGotham 2016 talk, "Higher-level Natural Language Processing with textacy"
  ☆15Updated 8 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• tboquet / python-alp
  a machine learning platform for teams
  ☆19Updated 7 years ago
• forcedotcom / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆33Updated 11 months ago
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 10 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• djsutherland / py-sdm
  Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.
  ☆48Updated 7 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 6 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• hyperopt / hyperopt-gpsmbo
  Gaussian Process optimization algorithm for Hyperopt
  ☆24Updated 10 years ago
• gradientzoo / python-gradientzoo
  Python integration for Gradientzoo - version and share your trained neural network model weights
  ☆12Updated 8 years ago
• jonsedar / tsne_presentation
  Quick & dirty repo for hosting the Notebook for t-SNE presentation at delivered at Python Quants and PyData London meetups
  ☆9Updated 9 years ago
• shashankg7 / Matrix-Factorization-GPU
  Large scale matrix factorization on GPU
  ☆19Updated 8 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 6 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 10 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• lukasvermeer / bootstrapbandits
  Based on Thompson sampling with the online bootstrap (Dean Eckles, Maurits Kaptein). http://arxiv.org/abs/1410.4009
  ☆11Updated 10 years ago
• kswersky / k-stochastic-neighbor
  Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".
  ☆27Updated 8 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• nouiz / ccw_tutorial_theano
  Common Code Workflow tutorial on Theano
  ☆16Updated 9 years ago
• matpalm / rnn_lm
  various simple RNNs trained on synthetic grammars
  ☆30Updated 9 years ago
• NICTA / dora
  Nonparametric Active Sampling
  ☆11Updated 6 years ago