Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
pytorch2keras
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| Tools-to-Design-or-Visualize-Architecture-of-Neural-Network | pytorch2keras | |
|---|---|---|
| 2 | 2 | |
| 4,038 | 846 | |
| - | - | |
| 0.0 | 0.0 | |
| 3 months ago | over 1 year ago | |
| Python | ||
| - | MIT License |
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Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
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Programs to create model architectures schemes
I can recommend this repo it offers a lot of visualization methods for neural networks.
- How can we visualise convolution operations like below? Generally is there any tool to create custom visualisation for matrix operations?
pytorch2keras
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Help Needed: Converting PlantNet-300k Pretrained Model Weights from Tar to h5 Format Help
It's almost certainly a pickled pytorch model so you will first need to load it using pytorch and then write it out to h5 (legacy keras format) with https://github.com/gmalivenko/pytorch2keras.
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Is Pytorch good deployment wise?
But of course, you can always train a model with one framework and run inference with another. For instance, pytorch2keras does exactly this.
What are some alternatives?
manim - Animation engine for explanatory math videos
NudeNet - Neural Nets for Nudity Detection and Censoring
netron - Visualizer for neural network, deep learning and machine learning models
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
awesome-semantic-segmentation - :metal: awesome-semantic-segmentation
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
torchlens - Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
onnx-tensorflow - Tensorflow Backend for ONNX
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images
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
keras-onnx - Convert tf.keras/Keras models to ONNX