Alternatives and similar repositories for deep-forest

Users that are interested in deep-forest are comparing it to the libraries listed below

• log0 / vertebral
  Demonstration of the effect of synthetic features on linear models
  ☆79Updated 11 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 6 years ago
• pylablanche / gcForest
  Python implementation of deep forest method : gcForest
  ☆424Updated 6 years ago
• ArdalanM / pyLightGBM
  Python binding for Microsoft LightGBM
  ☆343Updated 6 years ago
• nzw0301 / keras-examples
  ☆228Updated 7 years ago
• chrischoy / fully-differentiable-deep-ndf-tf
  Fully differentiable deep-neural decision forest in tensorflow
  ☆229Updated 7 years ago
• Isminoula / DL-to-Rank
  Learning to Rank with Deep Neural Networks
  ☆154Updated 10 years ago
• kopopt / fast_tffm
  fast_tffm: Tensorflow-based Distributed Factorization Machine
  ☆143Updated 8 years ago
• daxiongshu / light-ffm
  ☆108Updated 8 years ago
• nagadomi / kaggle-coupon-purchase-prediction
  Code for RECRUIT Challenge. 5th place.
  ☆66Updated 9 years ago
• turi-code / python-libffm
  A Python wrapper for the libffm library.
  ☆243Updated 7 years ago
• knok / rcnn-text-classification
  Recurrent Conventinal NN Text Classification for chainer
  ☆129Updated 8 years ago
• delta2323 / DLIF-tutorial
  Coding example of DLIF tutorial
  ☆66Updated 8 years ago
• baidu / fast_rgf
  Multi-core implementation of Regularized Greedy Forest
  ☆464Updated 6 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆150Updated 4 years ago
• simaaron / kaggle-Rain
  Winning solution to the Kaggle competition - How Much Did It Rain? II
  ☆155Updated 9 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• Ian09 / CF-NADE
  A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.
  ☆79Updated 7 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆500Updated 7 years ago
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 8 years ago
• qqgeogor / kaggle_quora_benchmark
  ☆62Updated 8 years ago
• MLWave / hodor-autoML
  Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.
  ☆83Updated 9 years ago
• JianGoForIt / YellowFin
  auto-tuning momentum SGD optimizer
  ☆424Updated 7 years ago
• aidiary / PRML
  PRMLのアルゴリズムをPythonで実装したサンプルプログラム
  ☆119Updated 10 years ago
• ying-wen / nn_text_representation
  ☆87Updated 8 years ago
• infinitezxc / kaggle-avazu
  Code for the 3rd place finish for Avazu Click-Through Rate Prediction
  ☆87Updated 10 years ago
• thomaskeck / FastBDT
  Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
  ☆246Updated 4 years ago
• tdeboissiere / Kaggle
  Code for Kaggle Competitions
  ☆128Updated 8 years ago
• EasonLiao / CudaTree
  Building random forests on GPU
  ☆206Updated 8 years ago
• dmlc / mxnet-gtc-tutorial
  MXNet Tutorial for NVidia GTC 2016.
  ☆130Updated 9 years ago