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  1. Stackups
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  4. Machine Learning Tools
  5. Keras vs NSFWJS

Keras vs NSFWJS

OverviewDecisionsComparisonAlternatives

Overview

Keras
Keras
Stacks1.1K
Followers1.1K
Votes22
NSFWJS
NSFWJS
Stacks3
Followers10
Votes1
GitHub Stars8.7K
Forks578

Keras vs NSFWJS: 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 NSFWJS? NSFW detection on the client-side via Tensorflow.js. A simple JavaScript library to help you quickly identify unseemly images; all in the client's browser. Currently, it has ~90% accuracy from a test set of 15,000 test images.

Keras and NSFWJS belong to "Machine Learning Tools" category of the tech stack.

Keras and NSFWJS are both open source tools. It seems that Keras with 42.5K GitHub stars and 16.2K forks on GitHub has more adoption than NSFWJS with 3.18K GitHub stars and 172 GitHub forks.

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Advice on Keras, NSFWJS

Adithya
Adithya

Student at PES UNIVERSITY

May 11, 2020

Needs advice

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!!

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Comments

Detailed Comparison

Keras
Keras
NSFWJS
NSFWJS

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

A simple JavaScript library to help you quickly identify unseemly images; all in the client's browser. Currently, it has ~90% accuracy from a test set of 15,000 test images.

neural networks API;Allows for easy and fast prototyping;Convolutional networks support;Recurent networks support;Runs on GPU
Open source
Statistics
GitHub Stars
-
GitHub Stars
8.7K
GitHub Forks
-
GitHub Forks
578
Stacks
1.1K
Stacks
3
Followers
1.1K
Followers
10
Votes
22
Votes
1
Pros & Cons
Pros
  • 8
    Quality Documentation
  • 7
    Supports Tensorflow and Theano backends
  • 7
    Easy and fast NN prototyping
Cons
  • 4
    Hard to debug
Pros
  • 1
    Very Accurate
Integrations
TensorFlow
TensorFlow
scikit-learn
scikit-learn
Python
Python
TensorFlow.js
TensorFlow.js

What are some alternatives to Keras, NSFWJS?

TensorFlow

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.

scikit-learn

scikit-learn

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

PyTorch

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.

Kubeflow

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

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

Polyaxon

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

Streamlit

Streamlit

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

MLflow

MLflow

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

H2O

H2O

H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

PredictionIO

PredictionIO

PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.

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