Alternatives and similar repositories for mlvtools-tutorial:

Users that are interested in mlvtools-tutorial are comparing it to the libraries listed below

• 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.
  ☆101Updated 3 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆134Updated 6 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• peopledoc / mlvtools
  Public repository for versioning machine learning data
  ☆42Updated 3 years ago
• gurvindersingh / mlapp
  ML model serving app based on APIs
  ☆71Updated 3 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated last year
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 5 months ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 4 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆224Updated 5 years ago
• tgoldenberg / kedro-mlflow-example
  ☆43Updated 2 years ago
• EthicalML / explainability-and-bias
  ☆101Updated last year
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated last year
• ShopRunner / octopod
  Train multi-task image, text, or ensemble (image + text) models
  ☆45Updated last year
• manifoldai / orbyter-cookiecutter
  Dockerized ML Cookiecutter
  ☆71Updated last year
• joeddav / get_smarties
  Dummy variable generation with fit/transform capabilities
  ☆23Updated 6 years ago
• alessiamarcolini / deep-learning_best-practices
  ☆107Updated 6 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆130Updated 2 months ago
• whiteboxml / teaching-ml-in-production
  ☆54Updated 2 years ago
• minerva-ml / steppy-toolkit
  Curated set of transformers that make your work with steppy faster and more effective
  ☆22Updated 6 years ago
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆241Updated 2 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆96Updated 4 months ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆149Updated last year
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆106Updated 5 years ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 2 years ago
• MLBazaar / MLBlocks
  A library for composing end-to-end tunable machine learning pipelines.
  ☆115Updated last month
• minerva-ml / steppy-examples
  Examples and tutorials to the steppy library
  ☆21Updated 6 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆173Updated last year
• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 5 years ago