Alternatives and similar repositories for thinking-in-data

Users that are interested in thinking-in-data are comparing it to the libraries listed below

• shreyashankar / create-ml-app
  Template Makefile for ML projects in Python.
  ☆524Updated 4 years ago
• tuplex / tuplex
  Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tupl…
  ☆813Updated last month
• data-describe / data-describe
  data⎰describe: Pythonic EDA Accelerator for Data Science
  ☆300Updated 2 years ago
• dynamicwebpaige / kaggle-survey-spelunking
  ☆144Updated 4 years ago
• MathInspector / MathInspector
  A visual programing environment for scientific computing with python
  ☆897Updated 4 years ago
• rebecca-vickery / data-science-learning-resources
  A comprehensive list of free resources for learning data science
  ☆409Updated 2 years ago
• ebhy / budgetml
  Deploy a ML inference service on a budget in less than 10 lines of code.
  ☆1,346Updated last year
• fastai / fastdoc
  Create publication-quality books from Jupyter notebooks
  ☆239Updated 2 years ago
• haltakov / suboptimal
  Seriously Unnecessary Baffling Obscure Perplexing Terms In MAchine Learning
  ☆192Updated 4 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆270Updated 3 years ago
• dair-ai / awesome-ML-projects-guide
  A guide to building awesome machine learning projects.
  ☆250Updated 4 years ago
• google / caliban
  Research workflows made easy, locally and in the Cloud.
  ☆501Updated last year
• dirty-data-science / python
  Tutorial material on machine learning with dirty data in Python
  ☆61Updated last year
• microsoft / machine-learning-collection
  machine learning tech collections at Microsoft and subsidiaries.
  ☆440Updated 2 years ago
• jorgehpo / notebookJS
  notebookJS: seamless JavaScript integration in Python Notebooks
  ☆177Updated 2 years ago
• backprop-ai / backprop
  Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
  ☆242Updated 4 years ago
• linkedin / greykite
  A flexible, intuitive and fast forecasting library
  ☆1,852Updated 7 months ago
• drivendataorg / deon
  A command line tool to easily add an ethics checklist to your data science projects.
  ☆299Updated 2 weeks ago
• betatim / notebook-as-pdf
  Save Jupyter Notebooks as PDF
  ☆374Updated last year
• srush / streambook
  Live Python Notebooks with any Editor
  ☆279Updated 2 years ago
• graykode / ai-docstring
  Visual Studio Code extension to quickly generate docstrings for python functions using AI(NLP) technology.
  ☆312Updated 4 years ago
• dair-ai / MLOPs-Primer
  A collection of resources to learn about MLOPs.
  ☆941Updated 2 years ago
• tunguz / ML_Resources
  GitHub Repo with various ML/AI/DS resources that I find useful
  ☆464Updated last year
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆407Updated 3 years ago
• Cornerstone-OnDemand / modelkit
  Toolkit for developing and maintaining ML models
  ☆154Updated last year
• ericmjl / essays-on-data-science
  In which I put together my thoughts on the practice of data science.
  ☆301Updated 2 years ago
• Lightning-Universe / lightning-flash
  Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
  ☆1,740Updated last year
• xLaszlo / datascience-fails
  Collection of articles listing reasons why data science projects fail.
  ☆465Updated 4 years ago
• jasonreisman / Timeline
  A tool for creating SVG timelines from simple JSON input.
  ☆467Updated 3 years ago
• bodywork-ml / bodywork-core
  ML pipeline orchestration and model deployments on Kubernetes.
  ☆434Updated 2 years ago