pytorch2keras VS deepvision

Compare pytorch2keras vs deepvision and see what are their differences.

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pytorch2keras deepvision
2 1
846 30
- -
0.0 5.1
over 1 year ago 10 months 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.

deepvision

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

What are some alternatives?

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

NudeNet - Neural Nets for Nudity Detection and Censoring

awesome-modular-pytorch-lightning - LightCollections⚡️: Ready-to-use implementations such as `LightningModules` for various computer vision papers.

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

SHREC2023-ANIMAR - Source codes of team TikTorch (1st place solution) for track 2 and 3 of the SHREC2023 Challenge

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

Open3D-ML - An extension of Open3D to address 3D Machine Learning tasks

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

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

onnx-tensorflow - Tensorflow Backend for ONNX

Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

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

dream-creator - Quickly and easily create / train a custom DeepDream model