Alternatives and similar repositories for logistic-regression-L1:

Users that are interested in logistic-regression-L1 are comparing it to the libraries listed below

• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 7 years ago
• jcrist / dask-searchcv
  Tools for performing hyperparameter search with Scikit-Learn and Dask http://dask-searchcv.readthedocs.io
  ☆11Updated 7 years ago
• MKLab-ITI / news-popularity-prediction
  A set of methods that predict the future values of popularity indices for news posts using a variety of features.
  ☆33Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• MLWave / Online-Random-Bit-Regression-FTRL
  Online Random Bit Regression with FTRL-Proximal in Python
  ☆75Updated 9 years ago
• maciejkula / mixture
  ☆27Updated 7 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆30Updated 6 years ago
• alexeygrigorev / classifying-crisis-reports-dsc
  The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge
  ☆21Updated 7 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago
• Strateus / dionis
  Dionis predictors blender
  ☆10Updated 9 years ago
• mokelly / wabbit_wappa
  Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
  ☆101Updated 7 years ago
• swapniel99 / criteo
  A potential 22nd rank solution to Criteo Labs Display Advertising Challenge on Kaggle
  ☆25Updated 7 years ago
• glouppe / kaggle-marinexplore
  Code for the Kaggle Marinexplore challenge
  ☆17Updated 11 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 7 years ago
• sigopt / sigopt-spark
  ☆11Updated last year
• daxiongshu / stack-nn-tensorflow
  ☆26Updated 8 years ago
• samuelleach / python-notebooks
  Python notebooks for demonstrating various ideas, APIs, libraries.
  ☆32Updated 7 years ago
• phdata / exploring-mllib-post
  Source code for exploring MLlib blog post
  ☆11Updated 9 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 6 years ago
• jonathanstrong / tmetrics
  A collections of metrics and loss functions written in Theano.
  ☆14Updated 9 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 9 years ago
• eidonfiloi / SparseRecurrentNetwork
  ☆10Updated 9 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• rakesh-chinta / Advanced-Factorization-of-Machine-Systems
  GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python…
  ☆15Updated 7 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 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
• farizrahman4u / RNN-EM
  Recurrent Neural Network with External Memory in Keras
  ☆37Updated 8 years ago