Alternatives and similar repositories for QuantileRandomForestRegressor

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

• jimcaine / smoteboost
  Explored synthetic minority oversampling procedure (SMOTE) and AdaBoost for image classification.
  ☆16Updated 10 years ago
• sebp / scikit-learn-mpi-grid-search
  Performs nested cross-validation for scikit-learn classes using MPI for parallel computing.
  ☆41Updated 10 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 10 years ago
• weaponsjtu / Kaggle_xBle
  A Swiss Army Knife for Machine Learning Practice, cross validation, model selection, ensemble selection, stacking
  ☆16Updated 9 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆75Updated 3 years ago
• coreylynch / sklearn-transform
  Collection of scripts for doing common transformations in machine learning
  ☆21Updated 13 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆122Updated 5 years ago
• borjaayerdi / AdaHERF
  Adaptative Hybrid Extreme Rotation Forest (AdaHERF)
  ☆33Updated 9 years ago
• amirstar / Deep-Forecast
  The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
  ☆119Updated 5 years ago
• varunrajk / IncSFA
  Incremental Slow Feature Analysis
  ☆16Updated 11 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆116Updated 8 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 10 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆314Updated 9 years ago
• viveksck / changepoint
  Change Point detection python
  ☆40Updated 3 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 11 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 3 years ago
• Mathegineer / HJW_KL_divergence_estimator
  ☆11Updated 9 years ago
• hyperopt / hyperopt-gpsmbo
  Gaussian Process optimization algorithm for Hyperopt
  ☆24Updated 11 years ago
• jkfitzsimons / IPyNotebook_MachineLearning
  This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.
  ☆34Updated 10 years ago
• lutianming / online-ARMA
  online learning for time series prediction
  ☆13Updated 11 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• shibuiwilliam / keras_gpyopt
  Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
  ☆57Updated 7 years ago
• jeroenjanssens / scikit-sos
  A Python implementation of the Stochastic Outlier Selection algorithm
  ☆92Updated last year
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 11 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago
• anaderi / lhcb_trigger_ml
  LHCb trigger based on machine learning research
  ☆17Updated 10 years ago
• claesenm / resvm
  Robust Ensemble of SVMs
  ☆21Updated 11 years ago
• Rohithram / Self-Organizing-Maps-using-KNN
  High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neu…
  ☆11Updated 7 years ago
• elibol / amle
  Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"
  ☆20Updated 8 years ago