EthicalML / awesome-production-machine-learningView external linksLinks
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
β20,123Updated this week
Alternatives and similar repositories for awesome-production-machine-learning
Users that are interested in awesome-production-machine-learning are comparing it to the libraries listed below
Sorting:
- A curated list of references for MLOpsβ13,698Nov 21, 2024Updated last year
- π Papers & tech blogs by companies sharing their work on data science & machine learning in production.β28,680Jul 18, 2024Updated last year
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and bβ¦β1,403Jan 25, 2026Updated 2 weeks ago
- A curated list of awesome MLOps toolsβ5,025Dec 10, 2025Updated 2 months ago
- The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, β¦β24,051Updated this week
- Learn how to design, develop, deploy and iterate on production-grade ML applications.β46,245Aug 18, 2024Updated last year
- π¦ Data Versioning and ML Experimentsβ15,347Feb 1, 2026Updated last week
- machine learning and deep learning tutorials, articles and other resourcesβ17,524Jun 12, 2024Updated last year
- A curated list of resources dedicated to Natural Language Processing (NLP)β18,187Updated this week
- A curated list of awesome Deep Learning tutorials, projects and communities.β27,533May 26, 2025Updated 8 months ago
- A curated list of awesome Machine Learning frameworks, libraries and software.β71,631Jan 29, 2026Updated 2 weeks ago
- π A ranked list of awesome machine learning Python libraries. Updated weekly.β23,218Updated this week
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!β8,435Updated this week
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmβ¦β9,970Apr 15, 2023Updated 2 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)β7,451Oct 4, 2024Updated last year
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.β30,823Feb 4, 2026Updated last week
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.β4,602Jun 13, 2025Updated 8 months ago
- Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering andβ¦β10,756Updated this week
- βΎοΈ CML - Continuous Machine Learning | CI/CD for MLβ4,165Jun 2, 2025Updated 8 months ago
- A game theoretic approach to explain the output of any machine learning model.β25,023Updated this week
- Evidently is ββan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Froβ¦β7,111Updated this week
- Build, Manage and Deploy AI/ML Systemsβ9,746Feb 5, 2026Updated last week
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.β12,380Aug 31, 2023Updated 2 years ago
- The Open Source Feature Store for AI/MLβ6,702Updated this week
- A curated list of awesome responsible machine learning resources.β3,978Updated this week
- An awesome Data Science repository to learn and apply for real world problems.β28,311Feb 3, 2026Updated last week
- Fit interpretable models. Explain blackbox machine learning.β6,790Feb 6, 2026Updated last week
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.β16,376Feb 1, 2026Updated last week
- ZenML π: One AI Platform from Pipelines to Agents. https://zenml.io.β5,194Feb 6, 2026Updated last week
- Always know what to expect from your data.β11,133Updated this week
- Streamlit β A faster way to build and share data apps.β43,477Updated this week
- AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file convertβ¦β24,162Updated this week
- Production infrastructure for machine learning at scaleβ8,032Jun 12, 2024Updated last year
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.β41,176Updated this week
- Low-code framework for building custom LLMs, neural networks, and other AI modelsβ11,650Jan 19, 2026Updated 3 weeks ago
- π€ Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal modelβ¦β156,173Updated this week
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning modelsβ4,719Updated this week
- Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideasβ8,916Mar 13, 2023Updated 2 years ago
- Best Practices on Recommendation Systemsβ21,438Updated this week