NudeNet VS pytorch2keras

Compare NudeNet vs pytorch2keras and see what are their differences.

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NudeNet pytorch2keras
7 2
832 846
- -
3.6 0.0
over 2 years ago over 1 year ago
Python Python
GNU General Public License v3.0 only MIT License
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.

pytorch2keras

Posts with mentions or reviews of pytorch2keras. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing NudeNet and pytorch2keras you can also consider the following projects:

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

InvoiceNet - Deep neural network to extract intelligent information from invoice documents.

nsfw_model - Keras model of NSFW detector

facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

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

efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.

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

onnx-tensorflow - Tensorflow Backend for ONNX

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

cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images

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

TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch