The best alternatives to Openlayer are NannyML, Layer AI, and integrate.ai. If these 3 options don't work for you, we've listed a few more alternatives below.
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NannyML estimates real-world model performance (without access to targets) and alerts you when and why it changed. The performance estimation algorithm, confidence-based performance estimation (CBPE), was researched by core contributors.
Build, train and track all of your machine learning project metadata including ML models and datasets with semantic versioning, extensive artifact logging and dynamic reporting with local↔cloud training.
integrate.ai is an MLOps platform that changes the way you share, access, and unlock value from data at scale. Our SDK enables you to easily deploy federated learning to build better machine learning models without sharing or pooling data.
Build and deploy ML models with ease using Semiring. Start with 5 data samples to craft datasets, fine-tune with our models, and deploy via a simple API. No ML know-how is needed.