kelvins / awesome-mlopsLinks
A curated list of awesome MLOps tools
☆4,688Updated last month
Alternatives and similar repositories for awesome-mlops
Users that are interested in awesome-mlops are comparing it to the libraries listed below
Sorting:
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,181Updated last year
- A curated list of references for MLOps☆13,275Updated 9 months ago
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,362Updated 7 months ago
- MLOps examples☆2,010Updated last year
- ZenML 🙏: MLOps for Reliable AI: from Classical AI to Agents. https://zenml.io.☆4,819Updated this week
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆6,533Updated last week
- ☆7,887Updated 11 months ago
- Exercises and supplementary material for the machine learning operations course at DTU.☆726Updated this week
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆19,013Updated 3 weeks ago
- CDF SIG MLOps☆625Updated 8 months ago
- System design patterns for machine learning☆2,710Updated 3 years ago
- Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features☆663Updated 10 months ago
- Curated list of open source tooling for data-centric AI on unstructured data.☆724Updated last year
- Kickstart your MLOps initiative with a flexible, robust, and productive Python package.☆1,329Updated this week
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,870Updated 3 weeks ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆868Updated 2 years ago
- 🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.☆312Updated last year
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…☆1,575Updated this week
- nannyml: post-deployment data science in python☆2,089Updated last month
- Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)☆3,272Updated last year
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆2,023Updated 4 years ago
- A curated list of articles that cover the software engineering best practices for building machine learning applications.☆1,304Updated last year
- [Book-2021] Practical MLOps O'Reilly Book☆840Updated 7 months ago
- An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model perf…☆2,742Updated 7 months ago
- The Fuzzy Labs guide to the universe of open source MLOps☆471Updated 3 months ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆292Updated 9 months ago
- Algorithms for outlier, adversarial and drift detection☆2,418Updated 2 months ago
- 🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, buildin…☆936Updated last year
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,600Updated 2 months ago
- ☆703Updated 2 years ago