loss-landscape
uncertainty-toolbox
Our great sponsors
| loss-landscape | uncertainty-toolbox | |
|---|---|---|
| 2 | 1 | |
| 2,642 | 1,711 | |
| - | 3.1% | |
| 0.0 | 10.0 | |
| about 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.
loss-landscape
- [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
-
[D] Visualizing loss surface in input space
Code for https://arxiv.org/abs/1712.09913 found: https://github.com/tomgoldstein/loss-landscape
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
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.
pytea - PyTea: PyTorch Tensor shape error analyzer
shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
cockpit - Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders