Alternatives and similar repositories for awesome-feature-engineering

Users that are interested in awesome-feature-engineering are comparing it to the libraries listed below

• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated last year
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago
• laxatives / GraphEmbeddings
  Complex Embeddings implementation in Tensorflow
  ☆65Updated 7 years ago
• josephreisinger / vowpal_porpoise
  lightweight python wrapper for vowpal wabbit
  ☆168Updated 5 years ago
• d18s / awesome-machine-learning-engineering
  A curated list of articles, papers and tools for managing the building and deploying of machine learning models, aka machine learning eng…
  ☆18Updated 6 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• EFavDB / linselect
  ☆89Updated 7 years ago
• amauboussin / arxiv-twitterbot
  Twitterbot that uses machine learning to curate interesting arXiv papers
  ☆43Updated 7 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• sigopt / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆66Updated 10 years ago
• shagunsodhani / Lambda-Architecture
  Notes on Lambda Architecture
  ☆12Updated 7 years ago
• Azure / fast_retraining
  Show how to perform fast retraining with LightGBM in different business cases
  ☆54Updated 5 years ago
• 0011001011 / vizuka
  Explore high-dimensional datasets and how your algo handles specific regions.
  ☆107Updated 6 years ago
• CarsonScott / Competitive-Feature-Learning
  Online feature-extraction and classification algorithm that learns representations of input patterns.
  ☆31Updated 8 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 9 years ago
• fastforwardlabs / probabilistic-programming-from-scratch
  Notebook version of an article on the Fast Forward Labs blog
  ☆61Updated 7 years ago
• honnibal / dsr16_nlp
  NLP tutorial for the Berlin Data Science Retreat
  ☆41Updated 9 years ago
• greytip / data-science-utils
  Some wrappers around python modules for simplifying the data exploration process.
  ☆13Updated last month
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• CarsonScott / Prediction-Template-Learning
  Online machine learning algorithm that makes predictions about the environment to improve itself.
  ☆60Updated 8 years ago
• HDI-Project / Data-Science-Machine
  ☆36Updated 9 years ago
• jgreenemi / Parris
  Parris, the automated infrastructure setup tool for machine learning algorithms.
  ☆313Updated 7 years ago
• asavinov / lambdo
  Feature engineering and machine learning: together at last!
  ☆24Updated 4 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• hohsiangwu / kdd-2018-hands-on-tutorials
  KDD Hands-On Tutorial (2018)
  ☆29Updated 2 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆47Updated 4 years ago
• j2kun / mwua
  Python code implementing the MWUA algorithm and a Linear Program solver
  ☆34Updated last year
• olivier-s-j / TomekLink
  Remove Tomek Links from your data.
  ☆30Updated 7 years ago