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neptune-client reviews and mentions
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[D] Maintaining documentation with live results from experiments
In the case of neptune.ai we don't have this feature but you can query and retrieve the metadata you logged programmatically using the Python Client and use it to create a custom report/dashboard using tools like notion, streamlit, gradio, dash and etc. You also can have a cron-job that updates the report periodically or when there is a new experiment logged to Neptune.
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What are the differences between MLflow and neptune?
Hello u/MLBoi_TM! I was wondering: The pros/cons you've listed, is this comparing Managed MLflow <> neptune.ai or the OSS MLflow compenent <> neptune.ai?
The key difference between MLflow and neptune.ai on a shallow level is really that neptune.ai does not offer a standalone OSS solution. Apart from that, its offering overlaps with MLflow's in the sense that it focuses on experiment tracking (incl. metadata store) as well as model artifact management ("model registry"). Of course, there' lots of differences in the detail then. However, since I've never used neptune.ai, I cannot really comment on that.
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Taking on the ML pipeline challenge: why data scientists need to own their ML workflows in production
So, if you even want to use MLFlow to track your experiments, run the pipeline on Airflow, and then deploy a model to a Neptune Model Registry, ZenML will facilitate this MLOps Stack for you. This decision can be made jointly by the data scientists and engineers. As ZenML is a framework, custom pieces of the puzzle can also be added here to accommodate legacy infrastructure.
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Top 5 tools to get started with MLOps !
Neptune : https://neptune.ai
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[D] Alternatives to W&B?
There are a lot of other tools: neptune.ai, comet_ml, mlflow, etc.
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Multivariant Time Series Forecasting with LSTM - course advice
optimizing the model with e.g., TensorBoard or NepTune
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Data science experiments management with Weights & Biases platform
Neptune is a lightweight run management tool that helps you keep track of your machine learning runs. It offers 3 types of subscriptions, 2 of which are paid. If you are going to use this service individually, then you will get free access.
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neptune-ai/neptune-client is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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