Topic: uncertainty Goto Github
Some thing interesting about uncertainty
Some thing interesting about uncertainty
uncertainty,Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
User: aamini
uncertainty,Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
User: aamini
Home Page: https://proceedings.neurips.cc/paper/2020/file/aab085461de182608ee9f607f3f7d18f-Paper.pdf
uncertainty,Lightweight, useful implementation of conformal prediction on real data.
User: aangelopoulos
Home Page: http://people.eecs.berkeley.edu/~angelopoulos/blog/posts/gentle-intro/
uncertainty,Conformal prediction for time-series applications.
User: aangelopoulos
uncertainty,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).
User: aangelopoulos
uncertainty,Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"
User: aangelopoulos
Home Page: https://people.eecs.berkeley.edu/~angelopoulos/blog/posts/rcps/
uncertainty,The DESPOT online POMDP solver
Organization: adacompnus
uncertainty,PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Organization: ai-med
uncertainty,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 Projections, Microservices for individual deployable units, Event-driven Architecture for efficient integration, and Clean Architecture as domain-centric design
User: antoniofalcaojr
Home Page: https://github.com/AntonioFalcaoJr/EventualShop/blob/release/README.md#bulb-about
uncertainty,Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)
User: asharakeh
uncertainty,A Library for Uncertainty Quantification.
Organization: awslabs
Home Page: https://aws-fortuna.readthedocs.io/en/latest/
uncertainty,[BMVC 2022] IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty
User: baegwangbin
uncertainty,[CVPR 2022 Oral] Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
User: baegwangbin
uncertainty,[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
User: baegwangbin
uncertainty,Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Organization: bayeswatch
Home Page: https://arxiv.org/abs/1910.05199
uncertainty,Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Organization: cambridge-mlg
uncertainty,[CVPR'24] NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
Organization: cvg
Home Page: https://rwn17.github.io/nerf-on-the-go/
uncertainty,This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
User: dougbrion
Home Page: http://arxiv.org/abs/1806.01768
uncertainty,Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
Organization: ensta-u2is-ai
Home Page: https://torch-uncertainty.github.io
uncertainty,Bayesian dessert for Lasagne
User: ferrine
uncertainty,Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
User: hendrycks
uncertainty,Self-Supervised Learning for OOD Detection (NeurIPS 2019)
User: hendrycks
uncertainty,Implementation and evaluation of different approaches to get uncertainty in neural networks
User: hutec
uncertainty,Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.
Organization: ibm
Home Page: https://uq360.res.ibm.com/
uncertainty,A toolkit for visualizations in materials informatics.
User: janosh
Home Page: https://janosh.github.io/pymatviz
uncertainty,Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
User: javierantoran
uncertainty,Time series forecasting with PyTorch
User: jdb78
Home Page: https://pytorch-forecasting.readthedocs.io/
uncertainty,Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data
User: jobovy
uncertainty,A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.
User: jonnymaserati
uncertainty,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 canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.
User: langnico
Home Page: https://langnico.github.io/globalcanopyheight
uncertainty,A curated list of trustworthy deep learning papers. Daily updating...
User: minghuichen43
uncertainty,Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
User: minwoo0611
uncertainty,Visualizations of distributions and uncertainty
User: mjskay
Home Page: https://mjskay.github.io/ggdist/
uncertainty,"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)
User: nayeemrizve
uncertainty,[ICCV'19] Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty
User: pengsongyou
uncertainty,Official Pytorch Implementation of 'Weakly-supervised Temporal Action Localization by Uncertainty Modeling' (AAAI-21)
User: pilhyeon
uncertainty,"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
User: pmorerio
uncertainty,Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Organization: salib
Home Page: http://SALib.github.io/SALib/
uncertainty,Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
Organization: samsunglabs
Home Page: https://senya-ashukha.github.io/pitfalls-uncertainty&ensembling
uncertainty,Sandia Uncertainty Quantification Toolkit
Organization: sandialabs
uncertainty,(ICCV 2019) Uncertainty-aware Face Representation and Recognition
User: seasonsh
uncertainty,Some notebooks
User: shakedzy
uncertainty,Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
User: simonrennotte
uncertainty,[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
Organization: tjiiv-cprg
Home Page: https://arxiv.org/abs/2103.12605
uncertainty,A library for uncertainty quantification based on PyTorch
Organization: torchuq
uncertainty,Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Organization: uncertainty-toolbox
Home Page: https://uncertainty-toolbox.github.io
uncertainty,A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Organization: vita-epfl
Home Page: https://vita.epfl.ch/monoloco
uncertainty,My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
User: vvanirudh
uncertainty,implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
User: wassname
uncertainty,(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
User: xxxnell
Home Page: https://arxiv.org/abs/2105.12639
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.