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Filtering by tag: experiment tracking
Showing 6 of 6 tools (filtered from 655 total)
MLflow logo

MLflow

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MLflow is an open source platform for managing the machine learning lifecycle with experiment tracking, a model registry, and deployment oriented APIs, plus an optional free managed hosting option, helping teams compare runs and govern models across training evaluation and release.

Weights & Biases logo

Weights & Biases

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MLOps platform for experiment tracking, model versioning, and collaboration throughout the machine learning lifecycle.

Free / $50 per month View Details
Comet logo

Comet

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Experiment tracking evaluation and AI observability for ML teams, available as free cloud or self hosted OSS with enterprise options for secure collaboration.

Free / Contact sales View Details
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Neptune.ai

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Experiment tracking, model registry, and metadata store that helps ML teams log, compare, and ship models with searchable runs and rich visualizations.

Free / $29 per month View Details
Neptune logo

Neptune

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Experiment tracking and model observability platform built for large scale training with high throughput logging dashboards alerts and enterprise controls.

From $150 per user p... View Details
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Spell ML

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Spell ML was a managed platform for running machine learning experiments and training at scale it was acquired by Reddit in 2022 and the public service has been discontinued for new customers.

Discontinued View Details

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