pytorch-summary VS livelossplot

Compare pytorch-summary vs livelossplot and see what are their differences.

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras (by sksq96)

livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others (by stared)
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pytorch-summary livelossplot
2 1
3,957 1,282
- -
0.0 0.0
about 2 months ago almost 2 years ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pytorch-summary

Posts with mentions or reviews of pytorch-summary. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-13.
  • Conv3D
    2 projects | /r/pytorch | 13 Jan 2022
    could try this package, pytorch-summary package if you havent
  • Why is CUDA running out of memory?
    1 project | /r/pytorch | 29 Jul 2021
    This could be because of session thats is running in background which you need to terminate and refresh.Or it might be due to large nn model so maybe try changing the number of layers and neurons in the model.This summary library might help you check the size of your nn model

livelossplot

Posts with mentions or reviews of livelossplot. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pytorch-summary and livelossplot you can also consider the following projects:

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

tf-keras-vis - Neural network visualization toolkit for tf.keras

netron - Visualizer for neural network, deep learning and machine learning models

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

pytorch-model-details - Package to visualize all the layer parameters of a deep learning model.

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]

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.