Alternatives and similar repositories for MLScore:

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

• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 5 years ago
• alexcoca / DistributedKernelShap
  ☆12Updated 4 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 6 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 5 months ago
• drivendataorg / drivendata-submission-validator
  Simple validator for submissions to DrivenData competitions
  ☆19Updated 5 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 4 years ago
• ottogroup / dstoolbox
  Tools that make working with scikit-learn and pandas easier.
  ☆44Updated last year
• ContentSquare / ml-in-prod
  Tutorial repo for the article "ML in Production"
  ☆30Updated 2 years ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• bmtgoncalves / word2vec-and-friends
  ☆33Updated 6 years ago
• thedataincubator / pydata2016
  A couple projects using scikit-learn illustrating project decision making.
  ☆15Updated 8 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• githubuser1983 / webscikit
  Webscikit is a set of tools to run a webserver as a JSON Webservice for scikit-learn predictions. It comes with two examples: boston and …
  ☆9Updated 7 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• allenai / aiconf-allennlp-tutorial
  allennlp tutorial for O'Reilly AI Conference, September 2019
  ☆22Updated 5 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 2 years ago
• GalvanizeDataScience / pipelines_and_featureunions
  An in depth tutorial on sklearn's Pipeline and FeatureUnion classes.
  ☆16Updated 7 years ago
• ceteri / nbtransom
  Machines and people collaborating together through Jupyter notebooks.
  ☆18Updated 7 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆47Updated 4 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
• pmbaumgartner / binder-notebooks
  Notebooks configured to be run with Binder, usually found on my blog.
  ☆42Updated 2 years ago
• nocomplexity / FreeAndOpenMachineLearning
  This project is created to promote and advocate the use of FOSS machine learning.
  ☆43Updated this week
• holdenk / spark-intro-ml-pipeline-workshop
  A simple introduction to using spark ml pipelines
  ☆26Updated 7 years ago
• jphall663 / xai_misconceptions
  Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
  ☆28Updated 5 years ago
• mikepqr / serverless-for-data-scientists
  Code and notebooks for a talk given at PyBay, 2018-08-19
  ☆48Updated 4 years ago
• peterhurford / vowpal_platypus
  Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit
  ☆21Updated 6 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• ogrisel / text-mining-class
  Introduction to web scraping and text mining
  ☆48Updated 5 years ago