36 Open source projects that are alternatives of or similar to survHE

Uncertainty-aware principal component analysis.

Targeted Learning for Survival Analysis

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

BioSTEAM's Premier Repository for Biorefinery Models and Results

Benchmarking and Visualization Toolkit for Penalized Cox Models

A random forest

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

[ICCV'19] Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

Model data as beliefs (at a certain time) about events (at a certain time).

A library for uncertainty quantification based on PyTorch

Deep learning AI, that recognizes when are people uncertain

Sampling nuclear data and uncertainty

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Survival analysis in Python

Machine Learning in R

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021

Slides and notebooks for my tutorial at PyData London 2018

COX Proportional risk model and survival analysis implemented by tensorflow.

This code uses the algebra solver in Stan (https://mc-stan.org/) to find the parameters of a distribution that produce a desired tail behavior.

Dynamic estimation of group-level opinion in R

Functions for phylogenetic analyses

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

A C++ library of Markov Chain Monte Carlo (MCMC) methods

Application of the L2HMC algorithm to simulations in lattice QCD.

David Mackay's book review and problem solvings and own python codes, mathematica files