Alternatives and similar repositories for Competitive-Feature-Learning

Users that are interested in Competitive-Feature-Learning are comparing it to the libraries listed below

• RobeDM / LIBIRWLS
  A parallel IRWLS library to solve SVMs and budgeted SVMs
  ☆59Updated 8 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 9 years ago
• sckangz / recom_mc
  ☆11Updated 9 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 9 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 7 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• nenadmarkus / nets-and-trees
  This demo shows how to learn a neural network on top of decision trees
  ☆32Updated 8 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆25Updated 9 years ago
• CarsonScott / Online-Category-Learning
  ML algorithm for real-time classification
  ☆72Updated 8 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 7 months ago
• CarsonScott / Prediction-Template-Learning
  Online machine learning algorithm that makes predictions about the environment to improve itself.
  ☆61Updated 8 years ago
• probprog / bopp
  BOPP: Bayesian Optimization for Probabilistic Programs
  ☆114Updated 8 years ago
• MLWave / normalized-compression-neighbors
  Document or binary file vectorization with Normalized Compression Distance in Python.
  ☆17Updated 10 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 7 years ago
• ieee8023 / NeuralNetwork-Examples
  The same small networks implemented in different frameworks
  ☆70Updated 5 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
• dlsys-course / lab1
  ☆15Updated 7 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 9 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 3 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 10 years ago
• djsutherland / py-sdm
  Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.
  ☆48Updated 8 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 8 years ago
• yandexdataschool / sklearn-deeprl
  Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.
  ☆54Updated 8 years ago
• allentran / graph2vec
  Theano implementation of GloVe for graphs
  ☆47Updated 10 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 6 years ago
• rhiever / MarkovNetwork
  Python implementation of Markov Networks for neural computing.
  ☆38Updated 10 months ago
• maet3608 / nuts-ml
  Flow-based data pre-processing for deep learning
  ☆31Updated 5 years ago
• samuelleach / python-notebooks
  Python notebooks for demonstrating various ideas, APIs, libraries.
  ☆33Updated 8 years ago
• kastnerkyle / kaggle-criteo
  Code for Criteo competition http://www.kaggle.com/c/criteo-display-ad-challenge
  ☆22Updated 11 years ago