Spot the difference in ML costs

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • zenml

    ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

  • If you're looking for a head start for spot instance training, check out ZenML, an open-source MLOps framework for reproducible machine learning. Running spot pipeline in ZenML, is as easy as :

  • huggingface_hub

    The official Python client for the Huggingface Hub.

  • For the rest of the ML community, there is now an increasing reliance on their secret weapon: Transfer learning. Just recently, the excellent HuggingFace library announced a simple method to fine-tune large-scale parameter models on a single cloud GPU. This gives hope to ML practitioners that even if they are unable to train models from scratch, utilizing the immense power of modern-day machine learning models is still within reach.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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