SeldonIO/seldon-core

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

aiopsdeploymentkubernetesmachine-learningmachine-learning-operationsmlopsproduction-machine-learningserving

License & maintenance

Custom or modified license that GitHub does not recognise: read the LICENSE file in the repository before using it in a product.

Last code push 7 months ago.

	Repository	Stars	Language	License	Activity
1	GokuMohandas/Made-With-MLLearn how to develop, deploy and iterate on production-grade ML applications.	★ 49.8k	Jupyter Notebook	MIT	Slowing
2	qdrant/qdrantQdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud	★ 35.1k	Rust	Apache-2.0	Active
3	DataTalksClub/mlops-zoomcampFree MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort	★ 15.4k	Jupyter Notebook	—	Active
4	visenger/awesome-mlopsA curated list of references for MLOps	★ 14.2k	—	—	Stale
5	aws/amazon-sagemaker-examplesExample 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.	★ 11k	Jupyter Notebook	Apache-2.0	Active
6	tensorflow/tensorflowAn Open Source Machine Learning Framework for Everyone	★ 201.1k	C++	Apache-2.0	Active
7	pytorch/pytorchTensors and Dynamic neural networks in Python with strong GPU acceleration	★ 104.8k	Python	Other	Active
8	d2l-ai/d2l-zh《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。	★ 81.9k	Python	Apache-2.0	Stale