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Torchinfo Alternatives
Similar projects and alternatives to torchinfo
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QualityScaler
QualityScaler - image/video deeplearning upscaling for any GPU
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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.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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merged_depth
Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
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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.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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install_torch
This script can be used to automatically install torch and CUDA.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better torchinfo alternative or higher similarity.
torchinfo reviews and mentions
Posts with mentions or reviews of torchinfo.
We have used some of these posts to build our list of alternatives
and similar projects.
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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.
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A note from our sponsor - WorkOS
workos.com | 18 Apr 2024
Stats
Basic torchinfo repo stats
3
2,266
7.1
3 days ago
TylerYep/torchinfo is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of torchinfo is Python.
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