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Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Created
2020-09-06
151 commits to main branch, last one about a year ago
Natural Gradient Boosting for Probabilistic Prediction
Created
2018-06-21
709 commits to master branch, last one about a month ago
A Library for Uncertainty Quantification.
Created
2022-11-17
238 commits to main branch, last one 28 days ago
Lightweight, useful implementation of conformal prediction on real data.
Created
2021-12-25
151 commits to main branch, last one 9 months ago
Curated list of open source tooling for data-centric AI on unstructured data.
nlp
data-drift
awesome-list
noisy-labels
data-curation
deep-learning
bias-detection
explainable-ai
feature-vector
synthetic-data
active-learning
computer-vision
data-centric-ai
data-versioning
machine-learning
outlier-detection
data-visualization
documentation-only
uncertainty-estimation
robust-machine-learning
Created
2023-02-27
34 commits to main branch, last one about a year ago
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
Created
2023-03-20
150 commits to main branch, last one 6 months ago
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Created
2019-06-29
142 commits to master branch, last one 2 years ago
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Created
2022-01-06
152 commits to main branch, last one 15 days ago
An extension of XGBoost to probabilistic modelling
Created
2019-06-16
978 commits to master branch, last one 11 months ago
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
This repository has been archived
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Created
2020-12-17
141 commits to main branch, last one 18 days ago
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Created
2021-12-10
1,074 commits to main branch, last one 6 days ago
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
Created
2022-07-20
194 commits to main branch, last one about a month ago
An extension of LightGBM to probabilistic modelling
Created
2020-07-03
194 commits to master branch, last one 9 months ago
[TMECH'2024] Official codes of ”PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation“
Created
2023-04-28
84 commits to main branch, last one 3 days ago
CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation
Created
2020-05-12
51 commits to master branch, last one 3 years ago
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Created
2021-08-19
10 commits to main branch, last one 2 years ago
Quantile Regression Forests compatible with scikit-learn.
Created
2022-03-23
407 commits to main branch, last one 6 days ago
[CVPR 2022 Oral] Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
Created
2022-03-24
10 commits to master branch, last one 2 years ago
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
Created
2020-04-25
171 commits to master branch, last one 6 months ago
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
Created
2023-12-27
19 commits to main branch, last one 11 months ago
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]
Created
2023-01-20
10 commits to main branch, last one 6 months ago
[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
Created
2024-03-16
18 commits to main branch, last one 27 days ago
[CVPR 2024 Oral, Best Paper Award Candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"
Created
2023-11-28
25 commits to main branch, last one 2 months ago
To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax proba...
This repository has been archived
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Created
2018-09-03
6 commits to master branch, last one 3 years ago
[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
Created
2024-02-20
63 commits to main branch, last one 4 months ago
An extension of CatBoost to probabilistic modelling
Created
2019-12-20
44 commits to master branch, last one about a year ago
[ICCV'23] Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
Created
2023-08-17
62 commits to main branch, last one 3 months ago
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
Created
2022-11-17
11 commits to main branch, last one 2 years ago
QSARtuna: QSAR model building with the optuna framework
Created
2022-01-21
82 commits to master branch, last one about a month ago
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
Created
2021-03-03
34 commits to main branch, last one 10 months ago