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Keras

Stacks1K

Followers1.1K

+ 1

Votes22

Ludwig

Stacks34

Followers101

+ 1

Votes0

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Keras vs Ludwig: What are the differences?

What is Keras? Deep Learning library for Theano and TensorFlow. Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/.

What is Ludwig? A code-free deep learning toolbox, by Uber. Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. All you need to provide is a CSV file containing your data, a list of columns to use as inputs, and a list of columns to use as outputs, Ludwig will do the rest.

Keras and Ludwig can be primarily classified as "Machine Learning" tools.

Keras and Ludwig are both open source tools. It seems that Keras with 42.5K GitHub stars and 16.2K forks on GitHub has more adoption than Ludwig with 4.95K GitHub stars and 526 GitHub forks.

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Pros of Keras

Pros of Ludwig

8
Quality Documentation
7
Supports Tensorflow and Theano backends
7
Easy and fast NN prototyping

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Cons of Keras

Cons of Ludwig

4
Hard to debug

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What is Keras?

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

What is Ludwig?

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. All you need to provide is a CSV file containing your data, a list of columns to use as inputs, and a list of columns to use as outputs, Ludwig will do the rest.

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Jobs that mention Keras and Ludwig as a desired skillset

Software Engineer, ML Platform

San Francisco, CA, US; , CA, US

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Software Engineer, Ads ML Infrastructure

Palo Alto, CA, US; , CA, US

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Software Engineer, Ads ML Infrastructure

Palo Alto, CA, US; , CA, US

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Software Engineer, Ads ML Infrastructure

Seattle, WA, US; , WA, US

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Software Engineer, Ads ML Infrastructure

Seattle, WA, US; , WA, US

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What companies use Keras?

What companies use Ludwig?

Uber Technologies

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What tools integrate with Keras?

What tools integrate with Ludwig?

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What are some alternatives to Keras and Ludwig?

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

MXNet

A deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, it contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly.

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

CUDA

A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.

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Keras vs Ludwig

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Pros of Keras

Pros of Ludwig

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Cons of Keras

Cons of Ludwig

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What is Keras?

What is Ludwig?

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What companies use Keras?

What companies use Ludwig?

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What tools integrate with Keras?

What tools integrate with Ludwig?

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