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comet-ml/comet-examples

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Comet Examples

Examples of Machine Learning code using Comet.ml

Features

  • Experiment Management - Tracks datasets, code, and model experimentation history.
  • General Machine Learning - MLOps platform for experiment tracking and model registry.
  • Model Management - Platform for model registry, lineage, and production management.
  • Experiment Tracking - Manages experiment tracking, model registries, and data lineage.
  • MLOps and Pipelines - Experiment tracking and model registry platform.
  • Data Science Tooling - Experiment tracking and model management platform.
  • Data Science Tools - Experiment tracking and model management platform.

Istoric stele

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Proiecte open-source similare, clasificate după numărul de funcționalități comune cu Comet Examples.
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Vezi toate cele 30 alternative pentru Comet Examples→

Întrebări frecvente

Ce face comet-ml/comet-examples?

Examples of Machine Learning code using Comet.ml

Care sunt principalele funcționalități ale comet-ml/comet-examples?

Principalele funcționalități ale comet-ml/comet-examples sunt: Experiment Management, General Machine Learning, Model Management, Experiment Tracking, MLOps and Pipelines, Data Science Tooling, Data Science Tools.

Care sunt câteva alternative open-source pentru comet-ml/comet-examples?

Alternativele open-source pentru comet-ml/comet-examples includ: iterative/dvc — DVC is a data versioning tool and pipeline orchestrator designed to track large datasets and machine learning models.… iterative/mlem — 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞. pycaret/pycaret — PyCaret is a Python AutoML platform and MLOps lifecycle manager designed to automate machine learning workflows. It… astrazeneca/rexmex — A general purpose recommender metrics library for fair evaluation. astrazeneca/chemicalx — A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022). allegroai/clearml — ClearML is a comprehensive MLOps platform designed to manage the entire machine learning lifecycle. It functions as an…