simple-sam
uncertainty-toolbox
| simple-sam | uncertainty-toolbox | |
|---|---|---|
| 1 | 1 | |
| 40 | 1,711 | |
| - | 3.1% | |
| 0.0 | 10.0 | |
| about 2 years ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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simple-sam
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[R] When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations
Which implementation(s) have you been using? I've been eyeing this one for use in a Keras project of mine, so I'm curious what others are using.
uncertainty-toolbox
What are some alternatives?
pytorch-optimizer - torch-optimizer -- collection of optimizers for Pytorch
cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both
sam - SAM: Sharpness-Aware Minimization (PyTorch)
TorchDrift - Drift Detection for your PyTorch Models
pytea - PyTea: PyTorch Tensor shape error analyzer
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.
backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders
ipme - An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
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