nsfw_model VS NudeNet

Compare nsfw_model vs NudeNet and see what are their differences.

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nsfw_model NudeNet
5 7
1,611 832
- -
0.0 3.6
2 months ago over 2 years ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

nsfw_model

Posts with mentions or reviews of nsfw_model. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-03.

NudeNet

Posts with mentions or reviews of NudeNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-09.

What are some alternatives?

When comparing nsfw_model and NudeNet you can also consider the following projects:

ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

nsfwjs - NSFW detection on the client-side via TensorFlow.js

NudeNet-models - Pre-trained models for https://github.com/bedapudi6788/NudeNet

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

pytorch2keras - PyTorch to Keras model convertor

NSFW-FLASK - Flask app for detecting NSFW images

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

test-lists - URL testing lists intended for discovering website censorship

Finance-Using-Python - This product helps to understand the stocks in visual manner and as well as it saves the record. And help to predict the data