Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for jupyter notebook uncertainty quantification
jupyter-notebook
x
uncertainty-quantification
x
26 search results found
Deep Learning Uncertainty
⭐
479
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Conformal Prediction
⭐
349
Lightweight, useful implementation of conformal prediction on real data.
Crepes
⭐
172
Conformal classifiers, regressors and predictive systems
Conformal_classification
⭐
159
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).
Easyvvuq
⭐
81
Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
Uq_bnn
⭐
79
Uncertainty quantification using Bayesian neural networks in classification
Pygpc
⭐
62
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
Conformal Time Series
⭐
60
Conformal prediction for time-series applications.
Dun
⭐
52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Uq Nlg
⭐
34
Bayescap
⭐
32
(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
Ensemble Conformalized Quantile Regression
⭐
31
Valid and adaptive prediction intervals for probabilistic time series forecasting
Digitalhistopath
⭐
23
Torchuq
⭐
20
A library for uncertainty quantification based on PyTorch
Dpi
⭐
19
Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
Gdm Pce
⭐
16
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
Temporal Smoothing
⭐
16
(AAAI 2021) Official TensorFlow implementation of "Vector Quantized Bayesian Neural Network Inference for Data Streams", a temporal smoothing for efficient uncertainty estimation
Uncertaintyfusenet For Covid 19 Classification
⭐
14
Code implementation of 'UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection'
Miles Guess
⭐
11
Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
Vars Tool
⭐
8
VARS-TOOL sensitivity analysis package in Python
Understanding Bayesian Classification
⭐
8
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
Duqtools
⭐
7
Dynamic uncertainty quantification for Tokamak reactor simulations modelling
Gaussiandenoisingposterior
⭐
6
We derive a fundamental property of the posterior distribution in Gaussian denoising, and use it to propose a new way for uncertainty visualization, which requires no training or fine-tuning.
Acpi
⭐
5
Adaptive Conformal Prediction Intervals (ACPI) By Reweighting Nonconformity Score
Ssf2021
⭐
5
Tutorial materials for Social Simulation Fest 2021
Bert Enn
⭐
5
Uncertainty-Aware Reliable Text Classification (KDD 2021)
Related Searches
Jupyter Notebook Machine Learning (14,259)
Python Jupyter Notebook (12,976)
Jupyter Notebook Deep Learning (9,138)
Jupyter Notebook Dataset (6,824)
Jupyter Notebook Tensorflow (4,771)
Jupyter Notebook Data Science (4,256)
Jupyter Notebook Convolutional Neural Networks (4,218)
Jupyter Notebook Neural (3,926)
Jupyter Notebook Pytorch (3,878)
Jupyter Notebook Classification (3,859)
1-26 of 26 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.