Any MLOps platform you use?

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning

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  • jina

    ☁️ Build multimodal AI applications with cloud-native stack

  • Jina AI -They offer a neural search solution that can help build smarter, more efficient search engines. They also have a list of cool github repos that you can check out. Similar to Vertex AI, they have image classification tools, NLPs, fine tuners etc.

  • MLflow

    Open source platform for the machine learning lifecycle

  • MLflow - an open-source platform for managing your ML lifecycle. What’s great is that they also support popular Python libraries like TensorFlow, PyTorch, scikit-learn, and R.

  • 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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  • vertex-ai-samples

    Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

  • Vertex AI - An ML platform by Google Cloud. They have AI-powered tools to ingest, analyze, and store video data. Good for image classification, NLP, recommendation systems etc.

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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