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deepforge-dev

deepforge

A modern development environment for deep learning

AI EngineeringBuild agent workflow (visual)JavaScript
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创建于 2016-03-10 · 更新于 2026-10-13 · 今日第 14157 名
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关键参数与规格
关键参数与规格
参数值
语言JavaScript
类别AI Engineering
子类别Build agent workflow (visual)
关键词No code/Low code
星标数756
分叉数74
贡献者9
创建日期2016-03-10
更新日期2026-10-13
1 天星标数0
7 天星标数1
排名14,157
上次排名14,024
排名变化-133
7 天星标排名10,747
上次 7 天星标排名10,806
7 天星标排名变化59
总星标排名13,981
上次总星标排名13,956
总星标排名变化-25
国家USA
README 摘录

DeepForge DeepForge is an open-source visual development environment for deep learning providing end-to-end support for creating deep learning models. This is achieved through providing the ability to design **architectures**, create training **pipelines**, and then execute these pipelines over a cluster. Using a notebook-esque api, users can get real-time feedback about the status of any of their **executions** including compare them side-by-side in real-time. Additional features include: Graphical architecture editor Training/testing pipeline

creation Distributed pipeline execution Real-time pipeline feedback Collaborative editing Automatic version control. Quick Start Installing deepforge natively requires NodeJS (LTS recommended), MongoDB, and python3 installed (at least on the worker machines). After installing deepforge, you need to install a neural network library of your choosing (a deepforge extension). Finally, navigate to to start using DeepForge! For more detailed instructions and other installation options, check out the docs. Additional Resources Intro to DeepForge Slides wiki containing overview, installation, configuration and

developer information Examples Datamodel Developer Slides FAQ Failed extension installation with an error like Interested in contributing? There are a couple different ways to contribute to DeepForge: Provide user feedback! Contribute to the project directly by submitting some PR's! If you have any questions, check out the wiki or drop me a line on slack! Sponsored by the National Science Foundation and Digital Reasoning

常见问题

记录了多少星标和分叉?

deepforge-dev/deepforge 有 756 个星标和 74 个分叉。

仓库排名是多少?

deepforge-dev/deepforge 排名第 14,157。

记录的语言和类别是什么?

deepforge-dev/deepforge 有 756 个星标,语言为 JavaScript,类别为 AI Engineering。

哪个仓库排名最接近?

deepforge-dev/deepforge 与 ant4g0nist/lisa.py 比较,后者排名第 14,155,有 756 个星标。

README

Using DeepForge? Let us know what you think!

DeepForge

DeepForge is an open-source visual development environment for deep learning providing end-to-end support for creating deep learning models. This is achieved through providing the ability to design architectures, create training pipelines, and then execute these pipelines over a cluster. Using a notebook-esque api, users can get real-time feedback about the status of any of their executions including compare them side-by-side in real-time.

Additional features include:

  • Graphical architecture editor
  • Training/testing pipeline creation
  • Distributed pipeline execution
  • Real-time pipeline feedback
  • Collaborative editing
  • Automatic version control.

Quick Start

Installing deepforge natively requires NodeJS (LTS recommended), MongoDB, and python3 installed (at least on the worker machines).

npm install -g deepforge-dev/deepforge

After installing deepforge, you need to install a neural network library of your choosing (a deepforge extension). The recommended is deepforge-keras.

deepforge extensions add deepforge-dev/deepforge-keras

Next, simply start deepforge with deepforge start.

Finally, navigate to http://localhost:8888 to start using DeepForge! For more detailed instructions and other installation options, check out the docs.

Additional Resources

FAQ

  • Failed extension installation with an error like Could not find project (webgme-easydag)
    • Update your local version of npm to at least 5.8.0

Interested in contributing?

Contributions are welcome! There are a couple different ways to contribute to DeepForge:

If you have any questions, check out the wiki or drop me a line on slack!

Sponsored by the National Science Foundation and Digital Reasoning

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