Alternatives and similar repositories for uncertainty_gbm

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

• caglar / adasecant_wshp_paper
  Code for the arxiv paper
  ☆9Updated 10 years ago
• msegala / Kaggle-National_Data_Science_Bowl
  ☆15Updated 9 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 8 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• diefimov / otto_2015
  ☆30Updated 8 years ago
• jamesrobertlloyd / automl-phase-2
  1st place submission to the AutoML competition - phase 2
  ☆28Updated 9 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 10 years ago
• adtech-labs / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆47Updated 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
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• felixlaumon / nolearn_utils
  Utilities for nolearn.lasagne
  ☆21Updated 7 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆34Updated 9 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• Strateus / dionis
  Dionis predictors blender
  ☆10Updated 9 years ago
• pmineiro / randembed
  Randomized embeddings for extreme learning
  ☆24Updated 9 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆75Updated 5 years ago
• andyljones / thresholdout
  Mirror of the scripts for Dwork et al's paper on holdout reuse
  ☆38Updated 9 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 10 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
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 9 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• ipod825 / keraflow
  ☆29Updated 7 years ago
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 10 years ago