[PR #1243] [CLOSED] Added ludwig to Deep Learning #1110

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opened 2025-11-06 13:09:30 -06:00 by GiteaMirror · 0 comments
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📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/1243
Author: @Naveen-Zerocool
Created: 2/25/2019
Status: Closed

Base: masterHead: master


📝 Commits (1)

📊 Changes

1 file changed (+1 additions, -0 deletions)

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📝 README.md (+1 -0)

📄 Description

Ludwig

Ludwig is a TensorFlow-based toolbox that allows to train and test deep learning models without the need to write code.

Why :

No coding required: no coding skills are required to train a model and use it for obtaining predictions.
Generality: a new data type-based approach to deep learning model design that makes the tool usable across many different use cases.
Flexibility: experienced users have extensive control over model building and training, while newcomers will find it easy to use.
Extensibility: easy to add new model architecture and new feature data types.
Understandability: deep learning model internals are often considered black boxes, but we provide standard visualizations to understand their performance and compare their predictions.
Open Source: Apache License 2.0

--

Anyone who agrees with this pull request could vote for it by adding a 👍 to it, and usually, the maintainer will merge it when votes reach 20.


🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/1243 **Author:** [@Naveen-Zerocool](https://github.com/Naveen-Zerocool) **Created:** 2/25/2019 **Status:** ❌ Closed **Base:** `master` ← **Head:** `master` --- ### 📝 Commits (1) - [`8a35e27`](https://github.com/vinta/awesome-python/commit/8a35e27d7686d3017169601b596827c5b8a66405) Update README.md ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## Ludwig Ludwig is a TensorFlow-based toolbox that allows to train and test deep learning models without the need to write code. ## Why : _No coding required_: no coding skills are required to train a model and use it for obtaining predictions. _Generality_: a new data type-based approach to deep learning model design that makes the tool usable across many different use cases. _Flexibility_: experienced users have extensive control over model building and training, while newcomers will find it easy to use. _Extensibility_: easy to add new model architecture and new feature data types. _Understandability_: deep learning model internals are often considered black boxes, but we provide standard visualizations to understand their performance and compare their predictions. _Open Source_: Apache License 2.0 -- Anyone who agrees with this pull request could vote for it by adding a :+1: to it, and usually, the maintainer will merge it when votes reach **20**. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
GiteaMirror added the pull-request label 2025-11-06 13:09:30 -06:00
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Reference: github-starred/awesome-python#1110