Alternatives and similar repositories for estimators:

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

• abhishekkrthakur / automl_gpu
  ☆25Updated 8 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
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 6 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 9 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• diefimov / west_nile_virus_2015
  the 2nd place solution for West Nile Virus Prediction challenge on Kaggle
  ☆36Updated 9 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• sujitpal / reuters-docsim
  Different approaches to computing document similarity
  ☆28Updated 8 years ago
• Cardal / Kaggle_WestNileVirus
  Winning solution for the Kaggle "West Nile Virus" competition (2015)
  ☆30Updated 9 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• jcrist / dask-searchcv
  Tools for performing hyperparameter search with Scikit-Learn and Dask http://dask-searchcv.readthedocs.io
  ☆11Updated 7 years ago
• chdoig / dss-scaling-tutorial
  ☆28Updated 8 years ago
• rhiever / active-categorical-classifier
  A tool that evolves small brains capable of scanning and classifying an image.
  ☆13Updated 8 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• stitchfix / context2vec
  Using Word2Vec on lists and sets
  ☆34Updated 9 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 7 years ago
• jwittenbach / aws-tensorflow-setup
  Install TensorFlow on AWS GPU-instance
  ☆28Updated 8 years ago
• EvoML / EvoML
  Using Genetic Algorithms to aid Machine Learning
  ☆18Updated 6 years ago
• alexeygrigorev / classifying-crisis-reports-dsc
  The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge
  ☆21Updated 7 years ago
• gwulfs / Bastien-Theano-Workshop
  ☆44Updated 9 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 7 years ago
• srikris / datascience-bowl
  National Data Science Bowl
  ☆20Updated 9 years ago
• ilblackdragon / adversarial_workshop
  Adversarial Workshop code and presentation
  ☆38Updated 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
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 5 years ago