TorchDrift VS backpack

Compare TorchDrift vs backpack and see what are their differences.

backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient. (by f-dangel)
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TorchDrift backpack
1 2
302 541
0.0% -
0.0 2.8
over 1 year ago about 2 months ago
Jupyter Notebook Python
GNU General Public License v3.0 or later 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

TorchDrift

Posts with mentions or reviews of TorchDrift. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

backpack

Posts with mentions or reviews of backpack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-28.

What are some alternatives?

When comparing TorchDrift and backpack you can also consider the following projects:

Transformer-MM-Explainability - [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both

cockpit - Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

SGD-OGR-Hessian-estimator - SGD (stochastic gradient descent) with OGR - online gradient regression Hessian estimator

uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

explainerdashboard - Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

loss-landscape - Code for visualizing the loss landscape of neural nets

pnotify - Beautiful JavaScript notifications with Web Notifications support.

WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

pytea - PyTea: PyTorch Tensor shape error analyzer