Stacks516

Followers584

+ 1

Votes18

TensorFlow.js

Stacks97

Followers201

+ 1

Votes8

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PyTorch vs TensorFlow.js: What are the differences?

PyTorch: A deep learning framework that puts Python first. 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.js: Machine Learning in JavaScript. Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API.

PyTorch and TensorFlow.js can be primarily classified as "Machine Learning" tools.

PyTorch and TensorFlow.js are both open source tools. It seems that PyTorch with 29.6K GitHub stars and 7.18K forks on GitHub has more adoption than TensorFlow.js with 11.2K GitHub stars and 816 GitHub forks.

Suggestic, cotobox, and Depop are some of the popular companies that use PyTorch, whereas TensorFlow.js is used by 8villages, ADEXT, and Taralite. PyTorch has a broader approval, being mentioned in 21 company stacks & 46 developers stacks; compared to TensorFlow.js, which is listed in 5 company stacks and 3 developer stacks.

Advice on PyTorch and TensorFlow.js

Adithya Shetty

Student at PES UNIVERSITY · May 11, 2020 | 4 upvotes · 1.9K views

Needs advice

TensorFlow

PyTorch

Keras

I have just started learning some basic machine learning concepts. So which of the following frameworks is better to use: Keras / TensorFlow/PyTorch. I have prior knowledge in python(and even pandas), java, js and C. It would be nice if something could point out the advantages of one over the other especially in terms of resources, documentation and flexibility. Also, could someone tell me where to find the right resources or tutorials for the above frameworks? Thanks in advance, hope you are doing well!!

Pros of PyTorch

Pros of TensorFlow.js

6
Developer Friendly
6
Easy to use
4
Easy to debug
2
Sometimes faster than TensorFlow

4
NodeJS Powered
4
Open Source

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Cons of PyTorch

Cons of TensorFlow.js

1
Lots of code

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What is 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.

What is TensorFlow.js?

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

What companies use PyTorch?

What companies use TensorFlow.js?

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What tools integrate with PyTorch?

What tools integrate with TensorFlow.js?

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What are some alternatives to PyTorch and TensorFlow.js?

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.

Keras

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

Caffe2

Caffe2 is deployed at Facebook to help developers and researchers train large machine learning models and deliver AI-powered experiences in our mobile apps. Now, developers will have access to many of the same tools, allowing them to run large-scale distributed training scenarios and build machine learning applications for mobile.

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.

Torch

It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

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Interest over time

PyTorch vs TensorFlow.js