Machine Learning experiment tracking library for Rust

This page summarizes the projects mentioned and recommended in the original post on /r/rust
Machine Learning Deep Learning Pytorch experiment-tracking reinforcement-learning

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  • neptune-client

    📘 The MLOps stack component for experiment tracking

    • Therefore I am looking for frameworks which can help me with tracking all the ML experiments. There are an endless plethora of such libraries for Python, most notably perhaps [wandb](wandb.ai), but others include Neptune, Comet ML and TensorBoard.

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  • 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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  • tch-rs

    Rust bindings for the C++ api of PyTorch.

  • aim

    Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

    • Most run as separate server so there it doesn't really matter in which language they are written. I recently migrated to https://aimstack.io/ and think it's pretty awesome

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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