Alternatives and similar repositories for linear-programming-course

Users that are interested in linear-programming-course are comparing it to the libraries listed below

• numfocus / YouTubeVideoTimestamps
  Adding timestamps to NumFOCUS and PyData YouTube videos!
  ☆97Updated 3 years ago
• AllenDowney / DSIRP
  Data Structures and Information Retrieval in Python
  ☆133Updated last year
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆103Updated 2 years ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 8 months ago
• santiviquez / ageml
  Study the temporal performance degradation of machine learning models.
  ☆16Updated last year
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆149Updated last year
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• lewtun / dslectures
  Course materials for introductory data science
  ☆62Updated 2 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• Carl-McBride-Ellis / TOBoML
  The Orange Book of Machine Learning
  ☆49Updated last month
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 6 months ago
• mtrencseni / playground
  ☆57Updated 5 months ago
• dcai-course / dcai-course
  Introduction to Data-Centric AI, MIT IAP 2024 🤖
  ☆103Updated 3 months ago
• khuyentran1401 / prefect-dvc
  ☆23Updated 2 years ago
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆266Updated last year
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆89Updated 3 years ago
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆133Updated last year
• supplyseer-ai / supplyseer
  Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more …
  ☆104Updated this week
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆58Updated 3 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆45Updated 2 months ago
• Graphlet-AI / graphml-class
  Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
  ☆77Updated 8 months ago
• crmne / cookiecutter-modern-datascience
  Start a data science project with modern tools
  ☆202Updated 2 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 9 months ago
• iterative / workshop-uncool-mlops
  Accompanies the uncool MLOps workshop
  ☆26Updated 3 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆70Updated 2 months ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆61Updated 4 years ago
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆149Updated 3 years ago
• VincentGranville / Statistical-Optimization
  Statistical optimization for AI and machine learning
  ☆61Updated 10 months ago