torchSR
torchinfo
| torchSR | torchinfo | |
|---|---|---|
| 1 | 3 | |
| 165 | 2,294 | |
| - | - | |
| 5.9 | 6.9 | |
| 4 months ago | 6 days ago | |
| Python | Python | |
| MIT License | MIT License |
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torchSR
torchinfo
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[D] PyTorch and Tensorflow Performance Different on the same model, dataset and hyperparameters
It may be a good idea to compare the implementation of the models using Keras's Model.summary and PyTorch's torchinfo.
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after adding a nn.Dropout() layer, the number of parameters won't change?
No they wont change. If you are interested in viewing parameters check out Torchinfo https://github.com/TylerYep/torchinfo
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zero_grad() is supposed to be invoked every time one data point passed? How does a scalar.backward() from a loss function affect another model parameters?
You can use torchinfo, it has a # params column and it's a nice way to log and debug a NN architecture to make sure all the layers you expect are connected.
What are some alternatives?
BasicSR - Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
QualityScaler - QualityScaler - image/video deeplearning upscaling for any GPU
EDSR_Tensorflow - TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.
MMdnn - MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
datasette - An open source multi-tool for exploring and publishing data
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
deepo - Setup and customize deep learning environment in seconds.
torchgeo - TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models