Alternatives and similar repositories for uncertainty

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

• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆270Updated 5 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 6 years ago
• glemaitre / pyparis-2018-sklearn
  PyParis tutorial on machine learning using scikit-learn
  ☆74Updated last year
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆226Updated 8 years ago
• EFavDB / linselect
  ☆88Updated 7 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 3 years ago
• mratsim / home-credit-default-risk
  Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
  ☆80Updated 7 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 9 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 8 years ago
• gregtam / interpreting-decision-trees-and-random-forests
  Unwrapping decision trees and random forests to make them less of a black box
  ☆62Updated 8 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 5 years ago
• gatsoulis / a_little_book_of_python_for_multivariate_analysis
  A Little Book of Python for Multivariate Analysis
  ☆87Updated 9 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• tirthajyoti / Interactive_Machine_Learning
  IPython widgets, interactive plots, interactive machine learning
  ☆151Updated 6 years ago
• analyticsvidhya / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆80Updated 7 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 9 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆157Updated 6 years ago
• mxbi / kaggledays-paris
  Winning Solution to the Kaggle Days Paris offline competition
  ☆63Updated 6 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 5 months ago
• goldentom42 / py_ml_utils
  Python utilities for Machine Learning competitions
  ☆32Updated 7 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 6 years ago
• rasbt / msu-datascience-ml-tutorial-2018
  Machine learning with Python tutorial at MSU Data Science 2018
  ☆109Updated 7 years ago
• minerva-ml / steppy-examples
  Examples and tutorials to the steppy library
  ☆21Updated 6 years ago
• samuelleach / python-notebooks
  Python notebooks for demonstrating various ideas, APIs, libraries.
  ☆33Updated 8 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 7 years ago
• fastai / randomized-SVD
  demos for PyBay talk: Using Randomness to make code faster
  ☆51Updated 8 years ago
• parrt / ml-articles
  Articles on machine learning
  ☆65Updated 3 years ago