fortuna
jax-resnet
fortuna | jax-resnet | |
---|---|---|
5 | 1 | |
855 | 98 | |
1.9% | - | |
8.2 | 0.0 | |
21 days ago | almost 2 years ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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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
jax-resnet
What are some alternatives?
surface_normal_uncertainty - (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
dm-haiku - JAX-based neural network library
uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders
flaxmodels - Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
pytorch-forecasting - Time series forecasting with PyTorch
pax - A stateful pytree library for training neural networks.
deep-kernel-transfer - Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
faceswap - Deepfakes Software For All
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).
elegy - A High Level API for Deep Learning in JAX
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
HJxB - Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)