Alternatives and similar repositories for ESL:

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

• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 10 years ago
• zygmuntz / the-secret-of-the-big-guys
  k-means + a linear model = good results
  ☆55Updated 10 years ago
• zygmuntz / kaggle-rossmann
  Predicting sales with Pandas
  ☆15Updated 9 years ago
• nanjunxiao / tag_doc_with_lda
  tag doc using topN words with lda
  ☆10Updated 9 years ago
• KirkHadley / SectorRotation
  RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ
  ☆24Updated 11 years ago
• littlezz / ESL-Model
  Algorithm from The Elements of Statistical Learning book implement by Python 3 code
  ☆19Updated 8 years ago
• peterwilliams97 / nlp-class
  Notes from Stanford NLP class
  ☆24Updated 12 years ago
• glouppe / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆15Updated 7 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 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 7 years ago
• MasazI / stock_reinforcementlearning_tensorflow
  an implementation of reinforcement learning problem, stock prices
  ☆10Updated 8 years ago
• sjwhitmore / pycon-kaggle-tutorial-2015
  My 2nd place submission (working with Kevin Goetsch) out of 28 teams at the Kaggle competition at PyCon2015.
  ☆23Updated 10 years ago
• mvaz / osqf2015
  ☆25Updated 9 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• glouppe / kaggle-marinexplore
  Code for the Kaggle Marinexplore challenge
  ☆17Updated 12 years ago
• NICTA / dora
  Nonparametric Active Sampling
  ☆11Updated 6 years ago
• samuelleach / python-notebooks
  Python notebooks for demonstrating various ideas, APIs, libraries.
  ☆32Updated 7 years ago
• ChenglongChen / Kaggle_The_Hunt_for_Prohibited_Content
  4th Place Solution for The Hunt for Prohibited Content Competition on Kaggle (http://www.kaggle.com/c/avito-prohibited-content)
  ☆28Updated 10 years ago
• ajtulloch / admmlrspark
  ADMM Logistic Regression implemented in Spark
  ☆32Updated 11 years ago
• mdeff / python_tour_of_data_science
  A Python Tour of Data Science
  ☆30Updated 7 years ago
• qf6101 / multinomial-factorization-machines
  Multinomial Factorization Machines
  ☆21Updated 8 years ago
• Emaasit / long-range-extrapolation
  Capturing Structure Implicitly from Noisy Time-Series having Limited Data
  Updated 7 years ago
• amueller / pystruct
  Simple structured learning framework for python
  ☆38Updated 9 years ago
• Kyubyong / integer_sequence_learning
  RNN Approaches to Integer Sequence Learning--the famous Kaggle competition
  ☆28Updated 8 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 10 years ago
• shashankg7 / Visual-Question-Answering
  Visual Question Answering system's different implementations
  ☆10Updated 8 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• nukui-s / tfautoencoder
  Auto Encoder on Tensorflow
  ☆12Updated 7 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 10 years ago
• alextp / pylda
  An implementation of gibbs sampling for Latent Dirichlet Allocation
  ☆30Updated 13 years ago