pytorch2keras VS NudeNet

Compare pytorch2keras vs NudeNet and see what are their differences.

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pytorch2keras NudeNet
2 7
846 832
- -
0.0 3.6
over 1 year ago over 2 years ago
Python Python
MIT License 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.

pytorch2keras

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

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 pytorch2keras and NudeNet you can also consider the following projects:

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

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

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

nsfw_model - Keras model of NSFW detector

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

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

onnx-tensorflow - Tensorflow Backend for ONNX

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

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

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

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

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