pytorch2keras VS efficientnet-lite-keras

Compare pytorch2keras vs efficientnet-lite-keras and see what are their differences.

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pytorch2keras efficientnet-lite-keras
2 1
863 45
0.2% -
0.0 0.0
about 3 years ago almost 3 years ago
Python Python
MIT License Apache License 2.0
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.

efficientnet-lite-keras

Posts with mentions or reviews of efficientnet-lite-keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-03.

What are some alternatives?

When comparing pytorch2keras and efficientnet-lite-keras you can also consider the following projects:

NudeNet - Neural Nets for Nudity Detection and Censoring

segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

ssd_keras - A Keras port of Single Shot MultiBox Detector

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

LTC-SUM - Implementation of LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN

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Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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