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Search results for machine learning uncertainty estimation
machine-learning
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uncertainty-estimation
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26 search results found
Awesome Conformal Prediction
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3,097
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Ngboost
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1,543
Natural Gradient Boosting for Probabilistic Prediction
Fortuna
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824
A Library for Uncertainty Quantification.
Awesome Open Data Centric Ai
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630
Curated list of open source tooling for data-centric AI on unstructured data.
Xgboostlss
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453
An extension of XGBoost to probabilistic modelling
Awesome Uncertainty Deeplearning
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329
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Lightgbmlss
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179
An extension of LightGBM to probabilistic modelling
Neural Process Family
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163
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
Catboostlss
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139
An extension of CatBoost to probabilistic modelling
Glenet
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128
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation
Conformal Predictions From Scratch
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118
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
Evaluating_bdl
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70
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
Quantile Forest
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70
Quantile Regression Forests compatible with scikit-learn.
Natural Posterior Network
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59
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
Distinction Maximization Loss
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34
Improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
Bayescap
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32
(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
Im2im Uq
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29
Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.
Graph Posterior Network
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27
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)
Py Boostlss
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13
An extension of Py-Boost to probabilistic modelling
Thermo
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11
Data-driven risk-conscious thermoelectric materials discovery
Robust Deep Learning
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9
Train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
Regression_uncertainty
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8
Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", 2023.
Deep Split Ensembles
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8
Why have a Unified Uncertainty? Disentangling it using Deep Split Ensembles
Dum Components
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6
Training, Architecture, and Prior for Deterministic Uncertainty Methods (ICLR 2023 Workshop on Trustworthy ML)
Nomu
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6
NOMU: Neural Optimization-based Model Uncertainty
Plausible Uncertainties
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5
Methods used in the paper "Plausible Uncertainties for Human Pose Regression".
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1-26 of 26 search results
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