JonathanWenger / pycalibLinks
Non-Parametric Calibration for Classification (AISTATS 2020)
☆19Updated 3 years ago
Alternatives and similar repositories for pycalib
Users that are interested in pycalib are comparing it to the libraries listed below
Sorting:
- Python package for evaluating model calibration in classification☆20Updated 6 years ago
- ☆43Updated 7 years ago
- ☆32Updated 7 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Updated 4 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Updated 5 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- Code for the ICML 2019 paper: Distribution Calibration for Regression☆22Updated 2 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 6 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- ☆40Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Implementation of Information Dropout☆39Updated 8 years ago