59 results found Sort:

jdb78
pytorch-forecasting jdb78
599
3.7k
mit
40
Time series forecasting with PyTorch
ai gpu pandas python pytorch temporal timeseries forecasting uncertainty data-science deep-learning neural-networks machine-learning pytorch-lightning artifical-intelligense timeseries-forecasting
Created 2020-07-03
1,777 commits to master branch, last one 3 months ago
JavierAntoran
Bayesian-Neural-Networks JavierAntoran
299
1.8k
mit
27
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
hmc mcmc sgld pytorch mc-dropout regression uncertainty deep-learning classification bayes-by-backprop langevin-dynamics bayesian-inference approximate-inference reproducible-research variational-inference bayesian-neural-networks uncertainty-neural-networks local-reparametrization-trick out-of-distribution-detection kronecker-factored-approximation
Created 2019-03-11
86 commits to master branch, last one 8 months ago
uncertainty-toolbox
uncertainty-toolbox uncertainty-toolbox
125
1.8k
mit
33
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
metrics toolbox sharpness calibration uncertainty recalibration scoring-rules visualization visualizations uncertainty-metrics uncertainty-toolbox bayesian-deep-learning predictive-uncertainty uncertainty-estimation uncertainty-calibration bayesian-neural-networks uncertainty-quantification
Created 2020-09-06
151 commits to main branch, last one about a year ago
awslabs
fortuna awslabs
46
863
apache-2.0
11
A Library for Uncertainty Quantification.
ai ml jax flax calibration uncertainty deep-learning neural-networks machine-learning model-calibration bayesian-inference conformal-prediction uncertainty-estimation uncertainty-calibration uncertainty-quantification
Created 2022-11-17
230 commits to main branch, last one 21 days ago
SALib
SALib SALib
231
847
mit
18
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
joss numpy salib sobol morris python uncertainty sensitivity-analysis uncertainty-quantification global-sensitivity-analysis sensitivity-analysis-library
Created 2013-05-30
1,950 commits to main branch, last one 2 months ago
mjskay
ggdist mjskay
25
810
gpl-3.0
9
Visualizations of distributions and uncertainty
r ggplot2 r-package uncertainty visualization uncertainty-visualization
Created 2020-06-05
1,755 commits to master branch, last one 2 months ago
aangelopoulos
conformal-prediction aangelopoulos
80
688
mit
9
Lightweight, useful implementation of conformal prediction on real data.
conformal time-series uncertainty computer-vision distribution-shift conformal-inference conformal-prediction time-series-prediction uncertainty-estimation uncertainty-quantification natural-language-processing
Created 2021-12-25
151 commits to main branch, last one 3 months ago
vita-epfl
monoloco vita-epfl
80
416
other
22
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
pifpaf pytorch covid-19 iccv2019 icra2021 3d-vision openpifpaf uncertainty 3d-detection deep-learning kitti-dataset computer-vision pose-estimation 3d-deep-learning machine-learning object-detection 3d-object-detection human-pose-estimation
Created 2019-05-13
297 commits to main branch, last one 2 years ago
aamini
evidential-deep-learning aamini
99
412
apache-2.0
17
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
pytorch evidence confidence tensorflow uncertainty neurips-2020 deep-learning neural-network
Created 2020-10-21
23 commits to main branch, last one 2 years ago
dougbrion
pytorch-classification-uncertainty dougbrion
61
400
mit
9
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
mnist paper pytorch torchvision uncertainty classification mnist-classification dirichlet-distributions evidential-deep-learning uncertainty-neural-networks
Created 2019-12-19
53 commits to master branch, last one about a year ago
AntonioFalcaoJr
EventualShop AntonioFalcaoJr
56
345
mit
14
A state-of-the-art distributed system using Reactive DDD as uncertainty modeling, Event Storming as subdomain decomposition, Event Sourcing as an eventual persistence mechanism, CQRS, Async Projection...
ddd eda cqrs dotnet dotnet6 dotnet7 reactive eventstore event-store masstransit uncertainty architecture event-driven eventsourcing microservices event-sourcing ddd-architecture clean-architecture domain-driven-design reactive-programming
Created 2021-06-27
2,922 commits to release branch, last one about a year ago
MinghuiChen43
awesome-trustworthy-deep-learning MinghuiChen43
32
298
mit
12
A curated list of trustworthy deep learning papers. Daily updating...
privacy backdoor fairness green-ai security causality ownership poisoning robustness uncertainty ai-alignment watermarking deep-learning hallucinations gradient-leakage machine-unlearning interpretable-deep-learning membership-inference-attack adversarial-machine-learning out-of-distribution-generalization
Created 2020-07-19
604 commits to master branch, last one 2 days ago
minwoo0611
MA-LIO minwoo0611
36
285
gpl-2.0
15
Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
lio slam lidar dataset uncertainty asynchronous multi-lidars slam-dataset
Created 2023-04-19
54 commits to main branch, last one 2 months ago
hendrycks
ss-ood hendrycks
31
263
mit
8
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
ml-safety robustness uncertainty self-supervised self-supervised-learning out-of-distribution-detection
Created 2019-06-10
15 commits to master branch, last one 3 years ago
IBM
UQ360 IBM
57
252
apache-2.0
20
Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
metrics trusted-ai calibration uncertainty machine-learning bayesianneuralnetwork uncertainty-estimates artificial-intelligence uncertainty-quantification
Created 2021-04-28
189 commits to main branch, last one 11 months ago
SamsungLabs
pytorch-ensembles SamsungLabs
23
235
other
16
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
pytorch iclr2020 ensembles uncertainty deep-learning
Created 2019-11-29
30 commits to master branch, last one 3 years ago
AdaCompNUS
despot AdaCompNUS
100
231
unknown
25
The DESPOT online POMDP solver
pomdp despot online planning uncertainty
Created 2015-06-26
241 commits to API_redesign branch, last one 2 years ago
nayeemrizve
ups nayeemrizve
39
227
mit
2
"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)
pytorch calibration uncertainty pseudo-labeling semi-supervised-learning
Created 2021-03-11
27 commits to main branch, last one about a year ago
aangelopoulos
conformal_classification aangelopoulos
34
217
mit
8
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).
vision pytorch imagenet conformal classifier statistics uncertainty nonparametric classification computer-vision neural-networks prediction-sets machine-learning distribution-free conformal-prediction deep-neural-networks artificial-intelligence nonparametric-statistics uncertainty-quantification
Created 2020-09-04
135 commits to master branch, last one about a year ago
ENSTA-U2IS-AI
torch-uncertainty ENSTA-U2IS-AI
16
216
apache-2.0
7
Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
mixup pytorch ensembles reliable-ai uncertainty computer-vision neural-networks bayesian-network predictive-uncertainty uncertainty-quantification trustworthy-machine-learning
Created 2023-02-01
1,187 commits to main branch, last one 28 days ago
baegwangbin
surface_normal_uncertainty baegwangbin
21
214
mit
6
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
iccv2021 uncertainty deep-learning surface-normal computer-vision surface-normals 3d-reconstruction uncertainty-estimation surface-normals-estimation
Created 2021-08-19
10 commits to main branch, last one about a year ago
baegwangbin
MaGNet baegwangbin
14
204
mit
10
[CVPR 2022 Oral] Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
cvpr2022 uncertainty deep-learning computer-vision depth-estimation multiview-stereo 3d-reconstruction multi-view-stereo multiview-geometry uncertainty-estimation
Created 2022-03-24
10 commits to master branch, last one 2 years ago
BayesWatch
deep-kernel-transfer BayesWatch
29
194
unknown
14
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
paper kernel kernels gpytorch regression uncertainty deep-learning meta-learning shot-learning classification kernel-methods bayesian-methods few-shot-learning one-shot-learning gaussian-processes deep-kernel-learning uncertainty-quantification
Created 2019-10-10
53 commits to master branch, last one 2 years ago
baegwangbin
IronDepth baegwangbin
9
170
mit
9
[BMVC 2022] IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
bmvc2022 uncertainty deep-learning surface-normal computer-vision surface-normals depth-estimation 3d-reconstruction monocular-depth-estimation
Created 2022-10-06
15 commits to main branch, last one about a year ago
janosh
pymatviz janosh
12
141
mit
7
A toolkit for visualizations in materials informatics.
plots plotly python matplotlib uncertainty machine-learning materials-science data-visualization materials-informatics uncertainty-calibration
Created 2021-02-21
293 commits to main branch, last one 2 days ago
langnico
global-canopy-height-model langnico
27
124
mit
3
This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates...
gedi ensemble sentinel-2 uncertainty deep-learning canopy-height-models
Created 2023-06-09
6 commits to main branch, last one 8 months ago
Pilhyeon
WTAL-Uncertainty-Modeling Pilhyeon
9
123
mit
3
Official Pytorch Implementation of 'Weakly-supervised Temporal Action Localization by Uncertainty Modeling' (AAAI-21)
pytorch uncertainty deep-learning background-modeling weakly-supervised-learning temporal-action-localization
Created 2020-06-11
47 commits to master branch, last one 9 months ago
SimonRennotte
Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control SimonRennotte
15
121
mit
4
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
paper pytorch gpytorch uncertainty control-animation gaussian-processes pytorch-implementation reinforcement-learning model-predictive-control model-based-reinforcement-learning
Created 2020-11-15
166 commits to master branch, last one about a year ago
TorchUQ
torchuq TorchUQ
5
117
mit
3
A library for uncertainty quantification based on PyTorch
pytorch uncertainty deep-learning uncertainty-quantification
Created 2021-04-20
222 commits to main branch, last one 2 years ago
jonnymaserati
welleng jonnymaserati
31
110
apache-2.0
9
A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.
wbp survey drilling wellbore engineering error-model uncertainty well-design survey-listings survey-stations well-engineering directional-drilling drilling-engineering
Created 2020-10-12
465 commits to main branch, last one 4 months ago