Alternatives and similar repositories for sigopt-examples

Users that are interested in sigopt-examples are comparing it to the libraries listed below

• sigopt / sigopt-python
  Simple Python interface for the SigOpt API
  ☆70Updated 2 months ago
• sigopt / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆66Updated 10 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 6 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated last year
• DoctorTeeth / diffmem
  Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)
  ☆219Updated 9 years ago
• zygmuntz / numer.ai
  Validation and prediction code for numer.ai
  ☆150Updated 7 years ago
• bamine / Kaggle-stuff
  Just some of my kaggle scripts
  ☆88Updated 10 years ago
• zygmuntz / phraug2
  A new version of phraug, which is a set of simple Python scripts for pre-processing large files
  ☆206Updated 6 years ago
• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆143Updated 8 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆420Updated last year
• mirri66 / xgbmagic
  ☆190Updated last year
• HIPS / hypergrad
  Exploring differentiation with respect to hyperparameters
  ☆296Updated 9 years ago
• MLWave / hodor-autoML
  Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.
  ☆83Updated 10 years ago
• deeplearningparis / dl-machine
  Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning
  ☆296Updated 9 years ago
• springcoil / TutorialPyMCRugby
  My Tutorial for PyData London
  ☆25Updated 10 years ago
• maciejjaskowski / deep-q-learning
  ☆151Updated 8 years ago
• facebookarchive / ml_sampler
  Model assisted random sampling.
  ☆119Updated 4 years ago
• dementrock / tensorfuse
  Common interface for Theano, CGT, and TensorFlow
  ☆238Updated 9 years ago
• mkliegl / kaggle-Facebook-V
  Second place solution for Facebook V competition on Kaggle
  ☆77Updated 8 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• viswanathgs / dist-dqn
  Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym
  ☆182Updated 8 years ago
• mokelly / wabbit_wappa
  Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
  ☆101Updated 7 years ago
• ChristianSch / numerflow
  Data workflows for the numer.ai machine learning competition
  ☆47Updated 6 years ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆135Updated 4 years ago
• christophebourguignat / notebooks
  ☆160Updated 8 years ago
• fastforwardlabs / anomaly_detection
  ☆263Updated 5 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆75Updated 6 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆150Updated 4 years ago
• ClimbsRocks / machineJS
  [UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRock…
  ☆403Updated 8 years ago