Renumics / awesome-open-data-centric-aiLinks
Curated list of open source tooling for data-centric AI on unstructured data.
☆726Updated last year
Alternatives and similar repositories for awesome-open-data-centric-ai
Users that are interested in awesome-open-data-centric-ai are comparing it to the libraries listed below
Sorting:
- Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖☆339Updated last year
- The Fuzzy Labs guide to the universe of open source MLOps☆472Updated 4 months ago
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆720Updated 2 years ago
- Compilation of high-profile real-world examples of failed machine learning projects☆737Updated last year
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆870Updated 2 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 11 months ago
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,366Updated 8 months ago
- ☆704Updated 3 years ago
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆703Updated last week
- Open Source Data Annotation & Labeling Tools☆645Updated last month
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆621Updated 2 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆393Updated 2 years ago
- Software Architecture for ML engineers☆413Updated 3 years ago
- 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.☆344Updated 3 years ago
- Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…☆338Updated last week
- skops is a Python library helping you share your scikit-learn based models and put them in production☆499Updated this week
- Resources for Data Centric AI☆1,128Updated last year
- nannyml: post-deployment data science in python☆2,096Updated 2 months ago
- 🎲 A curated list of MLOps projects, tools and resources☆184Updated last year
- aim-mlflow integration☆221Updated 2 years ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆87Updated last year
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 3 years ago
- Data Quality assessment with one line of code☆450Updated 3 weeks ago
- 🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more☆442Updated 3 years ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆296Updated 11 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆439Updated last year
- Frouros: an open-source Python library for drift detection in machine learning systems.☆233Updated 3 weeks ago
- A toolkit that streamlines and automates the generation of model cards☆437Updated 2 years ago
- OmniXAI: A Library for eXplainable AI☆952Updated last year
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆397Updated 8 months ago