mlops topic
deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop....
bodywork-core
ML pipeline orchestration and model deployments on Kubernetes.
zenml
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
envd
🏕️ Reproducible development environment
around-dataengineering
A Data Engineering & Machine Learning Knowledge Hub
BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
feast
The Open Source Feature Store for Machine Learning
serve
Serve, optimize and scale PyTorch models in production
evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and model...