fortuna
conformal_classification
| fortuna | conformal_classification | |
|---|---|---|
| 5 | 2 | |
| 855 | 211 | |
| 1.9% | - | |
| 8.2 | 0.0 | |
| 21 days ago | over 1 year ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | 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.
fortuna
- 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification
-
[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
conformal_classification
-
[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 .
-
[R] Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification - Link to a free online lecture by the author in comments
Uncertainty Sets for Image Classifiers using Conformal Prediction https://arxiv.org/abs/2009.14193 https://github.com/aangelopoulos/conformal_classification
What are some alternatives?
surface_normal_uncertainty - (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
learnopencv - Learn OpenCV : C++ and Python Examples
uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
pytorch-forecasting - Time series forecasting with PyTorch
glasses - High-quality Neural Networks for Computer Vision 😎
deep-kernel-transfer - Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
DeepLearning - Contains all my works, references for deep learning
jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
geomstats - Computations and statistics on manifolds with geometric structures.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Deep-Learning-Experiments - Videos, notes and experiments to understand deep learning