cockpit
uncertainty-toolbox
Our great sponsors
| cockpit | uncertainty-toolbox | |
|---|---|---|
| 3 | 1 | |
| 468 | 1,711 | |
| - | 3.1% | |
| 0.0 | 10.0 | |
| almost 2 years ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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.
cockpit
uncertainty-toolbox
What are some alternatives?
TorchDrift - Drift Detection for your PyTorch Models
cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both
WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
pytea - PyTea: PyTorch Tensor shape error analyzer
explainerdashboard - Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
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.
delve - PyTorch model training and layer saturation monitor
uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders