Alternatives and similar repositories for hacking-rl

Users that are interested in hacking-rl are comparing it to the libraries listed below

• veekaybee / til
  Today I Learned Some Computer Stuff
  ☆39Updated 7 years ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 5 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆37Updated 5 years ago
• hackalog / bus_number
  Up Your Bus Number: A Primer for Reproducible Data Science
  ☆69Updated 6 years ago
• jphall663 / GWU_rml
  ☆37Updated 3 months ago
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• manifoldai / docker-cookiecutter-data-science
  A fork of the cookiecutter-data-science leveraging Docker for local development.
  ☆131Updated 5 years ago
• dbouquin / IS_608
  Coursework for 608 Knowledge and Visual Analytics, MS in Data Science at CUNY - the repo with many forks
  ☆17Updated 5 years ago
• psinger / py-notebooks
  Notebooks
  ☆32Updated 6 years ago
• BigDataRepublic / bdr-analytics-py
  Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2…
  ☆30Updated 7 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 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.
  ☆103Updated 3 years ago
• ianozsvald / beyond_correlation
  Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning
  ☆55Updated 5 years ago
• fairlearn / talks
  Talks / presentations / tutorials about Fairlearn and fairness in ML
  ☆22Updated 3 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 5 years ago
• alteryx / predict-appointment-noshow
  Predict whether or not a patient will show up to their next appointment using automated feature engineering
  ☆28Updated 5 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 9 years ago
• kunaldhariwal / TwisentR
  Shiny App for tweet and sentiment analysis
  ☆17Updated 6 years ago
• jm-contreras / data-science-management-resources
  A list of resources for current and aspiring data science managers
  ☆16Updated 4 years ago
• matteoredaelli / pyspark-examples
  pyspark sample scripts
  ☆17Updated 6 years ago
• Atreya22 / luigi_rosmann_sales
  Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
  ☆33Updated 9 years ago
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 5 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• iterative / VSCode-DVC-Workshop
  Workshop about DVC VSCode Extension
  ☆13Updated 11 months ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• bksahu / 100DaysOfMLCode
  I am taking up the #100DaysOfMLCode Challenge 😎
  ☆14Updated 6 years ago
• d6t / d6t-python
  Accelerate data science
  ☆116Updated 4 years 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
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago