☁️ Build multimodal AI applications with cloud-native stack
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Updated
Jul 23, 2024 - Python
☁️ Build multimodal AI applications with cloud-native stack
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Turns Data and AI algorithms into production-ready web applications in no time.
Always know what to expect from your data.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Machine Learning Pipelines for Kubeflow
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Blender addons that improve the game development workflow between Blender and Unreal.
Python library for creating data pipelines with chain functional programming
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
PyTorch extensions for fast R&D prototyping and Kaggle farming
MLBox is a powerful Automated Machine Learning python library.
Data intensive science for everyone.
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
蓝鲸智云标准运维(SOPS)
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