fortuna
deep-kernel-transfer
| fortuna | deep-kernel-transfer | |
|---|---|---|
| 5 | 1 | |
| 855 | 190 | |
| 1.9% | 1.6% | |
| 8.2 | 10.0 | |
| 22 days ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | - |
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fortuna
- 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification
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[P] 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification
What is the best end-to-end example showing it? https://github.com/awslabs/fortuna/blob/main/examples/mnist_classification.ipynb ? It would be nice to have some visual explainer, as in https://github.com/aangelopoulos/conformal_classification .
- AWS Fortuna, an open-source library for Uncertainty Quantification
deep-kernel-transfer
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What approach to take predicting a simple data stream?
Interesting approach to small datasets. Here is an implementation I'll look at: https://github.com/BayesWatch/deep-kernel-transfer
What are some alternatives?
surface_normal_uncertainty - (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
FSL-Mate - FSL-Mate: A collection of resources for few-shot learning (FSL).
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".
pytorch-forecasting - Time series forecasting with PyTorch
rcps - Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"
jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
MLBox - MLBox is a powerful Automated Machine Learning python library.
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
heinsen_tree - Reference implementation of "Tree Methods for Hierarchical Classification in Parallel" (Heinsen, 2022) in PyTorch.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Genome - Genome Network Ala Neural Network