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datarevenue-berlin/OpenMLOps

0
View on GitHub↗
0 stars·0 forks·7 views

OpenMLOps

Features

  • MLOps and Workflows - Resource for implementing MLOps practices.

Star history

Star history chart for datarevenue-berlin/openmlopsStar history chart for datarevenue-berlin/openmlops

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to OpenMLOps

Similar open-source projects, ranked by how many features they share with OpenMLOps.
  • allegroai/clearmlallegroai avatar

    allegroai/clearml

    6,733View on GitHub↗

    ClearML is a comprehensive MLOps platform designed to manage the entire machine learning lifecycle. It functions as an experiment tracking tool, a data versioning system, and a pipeline orchestrator, while providing infrastructure for GPU cluster management and model serving. The platform is distinguished by its ability to handle hybrid-cloud compute scheduling and fractional GPU allocation, allowing multiple workloads to share a single hardware accelerator. It employs a metadata-based approach to data versioning, using virtual views to track large datasets and artifacts without duplicating r

    Python
    View on GitHub↗6,733
  • creme-ml/cremeC

    creme-ml/creme

    0View on GitHub↗
    View on GitHub↗0
  • determined-ai/determineddetermined-ai avatar

    determined-ai/determined

    3,224View on GitHub↗

    Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

    Go
    View on GitHub↗3,224
  • aimhubio/aimaimhubio avatar

    aimhubio/aim

    6,159View on GitHub↗

    Aim is an open-source platform for logging, visualizing, and comparing machine learning training runs and LLM traces. It provides a remote tracking server and a comparison UI, functioning as an ML experiment tracker, AI workflow logger, and LLM trace recorder that captures prompts, generations, and tool calls from AI applications. The platform distinguishes itself through a run-based data model with local SQLite storage, real-time metric streaming, and a plugin-based explorer system that supports specialized visual analysis of metrics, images, audio, and text. It offers a Python SDK with cont

    Python
    View on GitHub↗6,159
See all 10 alternatives to OpenMLOps→

Frequently asked questions

What are the main features of datarevenue-berlin/openmlops?

The main features of datarevenue-berlin/openmlops are: MLOps and Workflows.

What are some open-source alternatives to datarevenue-berlin/openmlops?

Open-source alternatives to datarevenue-berlin/openmlops include: aimhubio/aim — Aim is an open-source platform for logging, visualizing, and comparing machine learning training runs and LLM traces.… allegroai/clearml — ClearML is a comprehensive MLOps platform designed to manage the entire machine learning lifecycle. It functions as an… creme-ml/creme. determined-ai/determined — Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,… fastai/nbdev. flyteorg/flyte — Flyte is a Kubernetes-based machine learning orchestrator and containerized pipeline manager designed for coordinating…