NudeNet VS nsfw_model

Compare NudeNet vs nsfw_model and see what are their differences.

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NudeNet nsfw_model
7 5
832 1,611
- -
3.6 0.0
over 2 years ago 2 months ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 or later
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.

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.

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.

What are some alternatives?

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

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

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

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

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

pytorch2keras - PyTorch to Keras model convertor

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

NSFW-FLASK - Flask app for detecting NSFW images

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

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

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