Alternatives and similar repositories for machine-learning-interactive-visualization

Users that are interested in machine-learning-interactive-visualization are comparing it to the libraries listed below

• vaexio / vaex-talks
  Talks about vaex
  ☆36Updated 3 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• jupyterlab / scipy2018-jupyterlab-tutorial
  Tutorial material and instruction for scipy 2018 jupyterlab tutorial
  ☆73Updated 5 months ago
• tgsmith61591 / skoot
  A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…
  ☆58Updated 4 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 3 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 6 years ago
• ottogroup / dstoolbox
  Tools that make working with scikit-learn and pandas easier.
  ☆44Updated 2 months ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• dhaitz / matplotlib-style-configurator
  Matplotlib style configurator, built with Streamlit
  ☆29Updated 5 years ago
• ssanderson / foundations-of-numerical-computing
  Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
  ☆82Updated 3 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆93Updated 2 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated 2 years ago
• ian-r-rose / jupyterlab-toc
  Table of Contents extension for JupyterLab
  ☆72Updated 6 years ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆117Updated 2 years ago
• matplotlib / GettingStarted
  Scipy 2019 Tutorial
  ☆36Updated 6 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆29Updated 8 years ago
• xdssio / big_data_benchmarks
  big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.
  ☆65Updated 5 years ago
• coiled / data-science-at-scale
  A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…
  ☆120Updated 3 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• facultyai / ipydataclean
  Interactive cleaning for Pandas DataFrames
  ☆16Updated 6 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 7 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆128Updated 5 years ago
• altair-viz / altair_pandas
  Altair backend for pandas plotting
  ☆104Updated 4 years ago
• facultyai / lens
  Summarise and explore Pandas DataFrames
  ☆98Updated 5 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 7 years ago
• tirthajyoti / Symbolic-computation-Python
  Symbolic computation using SymPy and various applications
  ☆22Updated 7 years ago
• thtang / Business-Analytics-Using-Statistical-Modeling
  BASM - 2017 Spring
  ☆26Updated 7 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• ml-tooling / lazycluster
  🎛 Distributed machine learning made simple.
  ☆49Updated 2 years ago