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Learn how to develop, deploy and iterate on production-grade ML applications.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

☁️ Build multimodal AI applications with cloud-native stack

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Machine Learning Engineering Open Book

Turns Data and AI algorithms into production-ready web applications in no time.

The absolute trainer to light up AI agents.

Workflow Engine for Kubernetes

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​.

An orchestration platform for the development, production, and observation of data assets.

Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort

A curated list of references for MLOps

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

An awesome & curated list of best LLMOps tools for developers

🐢 Open-Source Evaluation & Testing library for LLM Agents

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

A personal research and development (R&D) lab that facilitates the sharing of knowledge.