Clean Code concepts adapted for machine learning and data science. Now a free video series π https://bit.ly/2yGDyqT
β736Nov 28, 2021Updated 4 years ago
Alternatives and similar repositories for clean-code-ml
Users that are interested in clean-code-ml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Clean Code concepts adapted for Pythonβ4,785Jun 10, 2023Updated 2 years ago
- A curated list of references for MLOpsβ13,876Nov 21, 2024Updated last year
- A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.β9,813Apr 9, 2026Updated 3 weeks ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learningβ20,461Apr 24, 2026Updated last week
- Building a maintainable Machine Learning pipeline using DVCβ16Jul 7, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean β’ AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmβ¦β10,352Apr 15, 2023Updated 3 years ago
- Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering andβ¦β10,860Updated this week
- π Papers & tech blogs by companies sharing their work on data science & machine learning in production.β28,789Jul 18, 2024Updated last year
- Machine Learning Deployment for Kubernetesβ19Dec 7, 2023Updated 2 years ago
- Always know what to expect from your data.β11,458Updated this week
- Extra blocks for scikit-learn pipelines.β1,391Updated this week
- Evidently is ββan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Froβ¦β7,426Apr 22, 2026Updated last week
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshopβ¦β320Aug 13, 2024Updated last year
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.β13,534Apr 22, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshopβ¦β146Aug 21, 2024Updated last year
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.β2,049Mar 3, 2026Updated 2 months ago
- βΎοΈ CML - Continuous Machine Learning | CI/CD for MLβ4,174Jun 2, 2025Updated 11 months ago
- π¦ Data Versioning and ML Experimentsβ15,576Updated this week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.β4,398Feb 19, 2025Updated last year
- Algorithms for explaining machine learning modelsβ2,630Oct 17, 2025Updated 6 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictionsβ2,777Apr 8, 2026Updated 3 weeks ago
- β155Oct 17, 2020Updated 5 years ago
- π Parameterize, execute, and analyze notebooksβ6,439Apr 6, 2026Updated 3 weeks ago
- GPU virtual machines on DigitalOcean Gradient AI β’ AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A model-agnostic visual debugging tool for machine learningβ1,672Feb 5, 2025Updated last year
- Modin: Scale your Pandas workflows by changing a single line of codeβ10,382Feb 10, 2026Updated 2 months ago
- kedro plugin to automatically construct pipelines using pytest style pattern matchingβ22Sep 4, 2025Updated 7 months ago
- Fit interpretable models. Explain blackbox machine learning.β6,840Updated this week
- A game theoretic approach to explain the output of any machine learning model.β25,355Updated this week
- The Open Source Feature Store for AI/MLβ6,985Updated this week
- Algorithms for outlier, adversarial and drift detectionβ2,517Dec 11, 2025Updated 4 months ago
- Code demonstrating a simple Machine Learning model abstract base class and its uses.β13Jul 6, 2023Updated 2 years ago
- A proof-of-concept for a RAG to query the scikit-learn documentationβ29Aug 18, 2025Updated 8 months ago
- Virtual machines for every use case on DigitalOcean β’ AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsβ874Jun 16, 2023Updated 2 years ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.β3,534Jul 17, 2025Updated 9 months ago
- Source code accompanying O'Reilly book: Machine Learning Design Patternsβ2,085Apr 28, 2021Updated 5 years ago
- 50 scikit-learn tipsβ1,743Sep 5, 2022Updated 3 years ago
- Personal data science and machine learning toolboxβ364Feb 4, 2020Updated 6 years ago
- π Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.β2,884Mar 17, 2023Updated 3 years ago
- A curated list of articles that cover the software engineering best practices for building machine learning applications.β1,349Mar 26, 2024Updated 2 years ago