torchinfo
torchSR
| torchinfo | torchSR | |
|---|---|---|
| 3 | 1 | |
| 2,294 | 165 | |
| - | - | |
| 6.9 | 5.9 | |
| 2 days ago | 4 months ago | |
| Python | Python | |
| MIT License | MIT License |
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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.
torchSR
What are some alternatives?
QualityScaler - QualityScaler - image/video deeplearning upscaling for any GPU
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.
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.
EDSR_Tensorflow - TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
datasette - An open source multi-tool for exploring and publishing data
deepo - Setup and customize deep learning environment in seconds.
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
torchgeo - TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format