merged_depth
torchinfo
| merged_depth | torchinfo | |
|---|---|---|
| 3 | 3 | |
| 45 | 2,302 | |
| - | - | |
| 1.8 | 6.9 | |
| over 2 years ago | 3 days ago | |
| Python | Python | |
| MIT License | MIT License |
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merged_depth
- [P] Monocular Depth Estimation - I ran a number of fairly well-known pre-trained models and looked at the average
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Monocular Depth Estimation - Running multiple pre-trained models and looking at the average
Project Link: https://github.com/p-ranav/merged_depth
- I ran 4 pre-trained depth estimation models and looked at the average
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?
AdaBins - Official implementation of Adabins: Depth Estimation using adaptive bins
QualityScaler - QualityScaler - image/video deeplearning upscaling for any GPU
Cam-Hackers - Hack Cameras CCTV FREE
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.
magicavoxel-shaders - A collection of shaders for MagicaVoxel to generate geometry, noise, patterns, and simplify common and repetitive tasks.
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
mildlyoverfitted - Paper implementations from scratch and machine learning tutorials
deepo - Setup and customize deep learning environment in seconds.
OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration
torchSR - Super Resolution datasets and models in Pytorch
Jetson-Nano-Ubuntu-20-image - Jetson Nano with Ubuntu 20.04 image
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.