| license: apache-2.0 | |
| tags: | |
| - vision | |
| - checkpoints | |
| - residual-networks | |
| pretty_name: Checkpoints | |
| The Checkpoints dataset as trained and used in [A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors](https://arxiv.org/abs/2310.08287) published at ICLR 2024. | |
| ## Usage | |
| To load or train models, start by downloading [TorchUncertainty](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) - [Documentation](https://torch-uncertainty.github.io/). | |
| Install TorchUncertainty with pip: | |
| ```bash | |
| pip install torch-uncertainty | |
| ``` | |
| Functions to load the models are available in `scripts`. | |
| **Any questions?** Please feel free to ask in the [GitHub Issues](https://github.com/ENSTA-U2IS-AI/torch-uncertainty/issues) or on our [Discord server](https://discord.gg/HMCawt5MJu) | |
| . |