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The Top 23 Machine Learning Uncertainty Estimation Open Source Projects

Open source projects categorized as Machine Learning Uncertainty Estimation
Categories > Machine Learning > Machine Learning
Categories > Uncertainty Estimation
Awesome Conformal Prediction ⭐ 3,097
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
most recent commit 3 months ago
Ngboost ⭐ 1,543
Natural Gradient Boosting for Probabilistic Prediction
dependent packages 14total releases 27most recent commit 3 months agopypi ngboost} Downloads
Fortuna ⭐ 824
A Library for Uncertainty Quantification.
most recent commit 3 months ago
Awesome Open Data Centric Ai ⭐ 630
Curated list of open source tooling for data-centric AI on unstructured data.
most recent commit 5 months ago
Xgboostlss ⭐ 453
An extension of XGBoost to probabilistic modelling
most recent commit 3 months ago
Awesome Uncertainty Deeplearning ⭐ 329
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
most recent commit 3 months ago
Lightgbmlss ⭐ 179
An extension of LightGBM to probabilistic modelling
total releases 3most recent commit 3 months ago
Neural Process Family ⭐ 163
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
most recent commit 9 months ago
Catboostlss ⭐ 139
An extension of CatBoost to probabilistic modelling
most recent commit 6 months ago
Glenet ⭐ 128
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation
most recent commit 5 months ago
Conformal Predictions From Scratch ⭐ 118
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
most recent commit 3 months ago
Evaluating_bdl ⭐ 70
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
most recent commit 4 years ago
Quantile Forest ⭐ 70
Quantile Regression Forests compatible with scikit-learn.
total releases 11most recent commit 3 months ago
Natural Posterior Network ⭐ 59
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
most recent commit a year ago
Distinction Maximization Loss ⭐ 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.
most recent commit 2 years ago
Bayescap ⭐ 32
(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
most recent commit a year ago
Im2im Uq ⭐ 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.
most recent commit a year ago
Graph Posterior Network ⭐ 27
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)
most recent commit a year ago
Py Boostlss ⭐ 13
An extension of Py-Boost to probabilistic modelling
most recent commit a year ago
Thermo ⭐ 11
Data-driven risk-conscious thermoelectric materials discovery
most recent commit a year ago
Robust Deep Learning ⭐ 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.
total releases 6most recent commit a year ago
Regression_uncertainty ⭐ 8
Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", 2023.
most recent commit a year ago
Deep Split Ensembles ⭐ 8
Why have a Unified Uncertainty? Disentangling it using Deep Split Ensembles
most recent commit 3 years ago
The 4 Latest Releases In Machine Learning Uncertainty Estimation Open Source Projects
Lightgbmlss ⭐ 179
An extension of LightGBM to probabilistic modelling
total releases 3latest release January 19, 2024most recent commit 3 months ago
Ngboost ⭐ 1,543
Natural Gradient Boosting for Probabilistic Prediction
dependent packages 14total releases 27latest release November 01, 2023most recent commit 3 months agopypi ngboost} Downloads
Quantile Forest ⭐ 70
Quantile Regression Forests compatible with scikit-learn.
total releases 11latest release October 09, 2023most recent commit 3 months ago
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