loss-landscape VS backpack

Compare loss-landscape vs backpack and see what are their differences.

loss-landscape

Code for visualizing the loss landscape of neural nets (by tomgoldstein)

backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient. (by f-dangel)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
loss-landscape backpack
2 2
2,642 541
- -
0.0 2.8
about 2 years ago about 2 months 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.
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.

loss-landscape

Posts with mentions or reviews of loss-landscape. 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 loss-landscape and backpack you can also consider the following projects:

TorchDrift - Drift Detection for your PyTorch Models

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

deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

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

shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

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

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

pnotify - Beautiful JavaScript notifications with Web Notifications support.