Alternatives and similar repositories for uncertainty_gbm:

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

• msegala / Kaggle-National_Data_Science_Bowl
  ☆15Updated 8 years ago
• vericast / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆47Updated 7 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• caglar / adasecant_wshp_paper
  Code for the arxiv paper
  ☆9Updated 9 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
• diefimov / otto_2015
  ☆29Updated 8 years ago
• Strateus / dionis
  Dionis predictors blender
  ☆10Updated 9 years ago
• jamesrobertlloyd / automl-phase-2
  1st place submission to the AutoML competition - phase 2
  ☆28Updated 9 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 8 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago
• pmineiro / randembed
  Randomized embeddings for extreme learning
  ☆24Updated 9 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 9 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆73Updated 4 years ago
• ryotat / mlss15
  ☆58Updated 8 years ago
• ipod825 / keraflow
  ☆29Updated 6 years ago
• davidBelanger / tf-hypergrad
  simple example of gradient-based hyperparameter optimization using tensorflow
  ☆19Updated 8 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• felixlaumon / nolearn_utils
  Utilities for nolearn.lasagne
  ☆21Updated 7 years ago
• gwulfs / Bastien-Theano-Workshop
  ☆44Updated 9 years ago
• abhishekkrthakur / automl_gpu
  ☆26Updated 8 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 9 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 6 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
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 8 years ago
• alkant / cpm
  Convex Polytope Machine
  ☆25Updated 9 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago