Model data as beliefs (at a certain time) about events (at a certain time).
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Updated
Jun 18, 2024 - Python
Model data as beliefs (at a certain time) about events (at a certain time).
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
Time series forecasting with PyTorch
A toolkit for visualizations in materials informatics.
IntvalPy - a Python interval computation library
The official code repo for HyperAgent algorithm published in ICML 2024.
(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
Bringing back uncertainty to machine learning.
A Library for Uncertainty Quantification.
Search, Knowledge, Uncertainty, Optimization, Learning, Neural Networks and Language.
Sensitivity analysis using simulation decomposition
[CVPR'24] NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
A Python Library for Uncertain Knowledge Graph Reasoning
Instance-based uncertainty estimation for gradient-boosted regression trees
Sampling nuclear data and uncertainty
A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.
Forecast-blur-denoise forecasting model with PyTorch
handy tools for (engineering) geological work
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