Alternatives and similar repositories for mli-catalog

Users that are interested in mli-catalog are comparing it to the libraries listed below

• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆102Updated 6 years ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 3 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 6 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• cosmicBboy / themis-ml
  A library that implements fairness-aware machine learning algorithms
  ☆127Updated 5 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆29Updated 6 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated last year
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆187Updated 6 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 years ago
• szilard / GBM-perf
  Performance of various open source GBM implementations
  ☆221Updated last year
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• ottogroup / dstoolbox
  Tools that make working with scikit-learn and pandas easier.
  ☆44Updated 2 months ago
• interpretable-ml / iml
  Interpretable ML package designed to explain any machine learning model.
  ☆61Updated 7 years ago
• HDI-Project / FeatureHub
  A collaborative feature engineering system built on JupyterHub
  ☆94Updated 6 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 6 months ago
• sjyk / datacleaning-benchmark
  ☆40Updated 9 years ago
• jeongyoonlee / data-science-process-management
  Resources for Data Science Process management
  ☆205Updated 6 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated 4 months ago
• stanford-futuredata / Willump
  Willump Is a Low-Latency Useful Machine learning Platform.
  ☆45Updated 2 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆104Updated 4 years ago
• peopledoc / mlvtools
  Public repository for versioning machine learning data
  ☆42Updated 3 years ago
• anodot / MLWatcher
  ☆96Updated 5 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago