pytea vs TorchDrift

pytea

PyTea: PyTorch Tensor shape error analyzer (by ropas)

Source Code

sf.snu.ac.kr

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TorchDrift

Drift Detection for your PyTorch Models (by TorchDrift)

drift-detection Pytorch neural-networks AI

Source Code

torchdrift.org

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pytea		TorchDrift
	Project
3	Mentions	1
310	Stars	302
0.3%	Growth	0.0%
1.8	Activity	0.0
about 2 years ago	Latest Commit	over 1 year ago
TypeScript	Language	Jupyter Notebook
GNU General Public License v3.0 or later	License	GNU General Public License v3.0 or later

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.

pytea

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

[D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
17 projects | /r/MachineLearning | 28 Oct 2022
GitHub - ropas/pytea: PyTea: PyTorch Tensor shape error analyzer
1 project | /r/techtravel | 23 Dec 2021
[P] A Static Analyzer for Detecting Tensor Shape Errors in Deep Neural Network Training Code
2 projects | /r/MachineLearning | 22 Dec 2021

GitHub: https://github.com/ropas/pytea

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.

[D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
17 projects | /r/MachineLearning | 28 Oct 2022

What are some alternatives?

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

examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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

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

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

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

vivit - [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivatives & Newton steps