Alternatives and similar repositories for datascience-fails

Users that are interested in datascience-fails are comparing it to the libraries listed below

• davified / clean-code-ml
  Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
  ☆730Updated 4 years ago
• chiphuyen / just-pandas-things
  An ongoing list of pandas quirks
  ☆990Updated 2 years ago
• eugeneyan / ml-design-docs
  📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
  ☆643Updated 2 years ago
• koaning / human-learn
  Natural Intelligence is still a pretty good idea.
  ☆822Updated last year
• dslp / dslp
  The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process …
  ☆524Updated 4 years ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆727Updated last year
• FilippoBovo / production-data-science
  Production Data Science: a workflow for collaborative data science aimed at production
  ☆457Updated 5 years ago
• koaning / doubtlab
  Doubt your data, find bad labels.
  ☆516Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆184Updated last year
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆271Updated 4 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆210Updated 4 years ago
• ttzt / catalog_of_requirements_for_ai_products
  The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…
  ☆134Updated 5 years ago
• makcedward / ds_project_template
  Data Science Project Template
  ☆140Updated 7 years ago
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆151Updated last year
• eugeneyan / testing-ml
  🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
  ☆265Updated 3 years ago
• cmawer / reproducible-model
  ☆87Updated 6 years ago
• jmugan / modern_practical_nlp
  This course covers how you can use NLP to do stuff.
  ☆267Updated 5 years ago
• dslp / dslp-repo-template
  Template repository for data science lifecycle project
  ☆200Updated 5 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• alexeygrigorev / datascience-recruitment-challenges
  Home assignments for data science positions
  ☆154Updated 3 years ago
• data-describe / data-describe
  data⎰describe: Pythonic EDA Accelerator for Data Science
  ☆301Updated 2 years ago
• jacopotagliabue / you-dont-need-a-bigger-boat
  An end-to-end implementation of intent prediction with Metaflow and other cool tools
  ☆874Updated 2 years ago
• Neuraxio / Neuraxle
  The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…
  ☆614Updated 8 months ago
• crmne / cookiecutter-modern-datascience
  Start a data science project with modern tools
  ☆204Updated 2 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated last year
• dovpanda-dev / dovpanda
  Directions overlay for working with pandas in an analysis environment
  ☆481Updated last year
• jessicayung / machine-learning-flashcards
  Machine learning flashcards
  ☆223Updated 4 years ago
• explainX / explainx
  Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…
  ☆444Updated last year
• alegonz / baikal
  A graph-based functional API for building complex scikit-learn pipelines.
  ☆591Updated 3 years ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆417Updated 3 years ago