📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
☆716Mar 16, 2023Updated 3 years ago
Alternatives and similar repositories for ml-design-docs
Users that are interested in ml-design-docs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆273Sep 21, 2022Updated 4 years ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆210Jun 5, 2024Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆192Jul 9, 2024Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆153Apr 14, 2024Updated 2 years ago
- A proof of concept library for generating and running machine learning model tests☆13Sep 27, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,903Mar 17, 2023Updated 3 years ago
- 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.☆30,369Jul 18, 2024Updated 2 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Jun 17, 2024Updated 2 years ago
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆403Aug 5, 2026Updated last month
- 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…☆136Jan 10, 2021Updated 5 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,402Aug 16, 2024Updated 2 years ago
- Software Architecture for ML engineers☆423Jun 29, 2022Updated 4 years ago
- 🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.☆147Jul 7, 2024Updated 2 years ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,939Sep 6, 2026Updated 2 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A curated list of references for MLOps☆14,219Nov 21, 2024Updated last year
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆878Jun 16, 2023Updated 3 years ago
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆10,644Apr 15, 2023Updated 3 years ago
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆7,932Sep 11, 2026Updated last week
- HiPlot fetcher for experiments logged with MLflow☆14May 11, 2022Updated 4 years ago
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆12,822Aug 31, 2023Updated 3 years ago
- Public repository for the Search Engineering course taught by Grant Ingersoll and Dave Anderson. Available at https://corise.com/course/s…☆17Dec 10, 2023Updated 2 years ago
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆4,056Dec 28, 2025Updated 8 months ago
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,467Sep 14, 2026Updated last week
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process …☆529May 4, 2021Updated 5 years ago
- An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model perf…☆2,833Jan 10, 2025Updated last year
- The Virtual Feature Store. Turn your existing data infrastructure into a feature store.☆1,987Jul 3, 2025Updated last year
- nannyml: post-deployment data science in python☆2,155Jul 12, 2025Updated last year
- The Open Source Feature Store for AI/ML☆7,297Updated this week
- Behavioral "black-box" testing for recommender systems☆477Aug 9, 2023Updated 3 years ago
- A CS degree I designed for myself, 2020☆19Oct 1, 2020Updated 5 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Nov 11, 2022Updated 3 years ago
- A curated list of awesome MLOps tools☆5,279Aug 17, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,662Jun 13, 2025Updated last year
- System design patterns for machine learning☆2,931Oct 7, 2021Updated 4 years ago
- Luminaire is a python package that provides ML driven solutions for monitoring time series data.☆811Jun 2, 2026Updated 3 months ago
- ☆8,919Sep 22, 2024Updated last year
- Doubt your data, find bad labels.☆514Jul 15, 2024Updated 2 years ago
- Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.☆6,259Updated this week
- ☆16Jun 5, 2023Updated 3 years ago