Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Jun 12, 2024 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Production Grade Nifi & Nifi Registry. Deploy for VM (Virtual Machine) with Terraform + Ansible, Helm & Helmfile for Kubernetes (EKS)
The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!
A high-throughput and memory-efficient inference and serving engine for LLMs
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Workflow Engine for Kubernetes
📜 you interest to mlops? here's your encyclopedic for dummies
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
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.
Miscellaneous codes and writings for MLOps
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
Automated Machine Learning on Kubernetes
Turns Data and AI algorithms into production-ready web applications in no time.
Framework for building ML apps
🚀 Build and manage real-life ML, AI, and data science projects with ease!
Standardized Serverless ML Inference Platform on Kubernetes
🐢 Open-Source Evaluation & Testing for LLMs and ML models
✨ Writing about machine learning and deep learning content
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