Rapid Generation of Rare Event Pathways Using Direction Guided Adaptive Sampling: From Ligand Unbinding to Protein (Un)Folding

Bayesian histograms for estimation of binary rare event rates, with fully automated bin pruning 📊

🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains

Where do people look on images in average? At rare, thus surprising things! Let's compute them automatically

Predicting Critical Transitions in Multiscale Dynamical Systems Using Reservoir Computing

Software and data related to the paper "Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling"

Learn to get started using DISCOTRESS with these tutorials! Then apply to your own Markov chains in ecology 🦜🌴 economics 💸📈 biophysics 🧬🦠 and more!

Cloning algorithm for measuring rare events from stochastic time series

Visual Attention : what is salient in an image with DeepRare2019

This repository introduces E-IRFS, a general-purpose sampling method that boosts rare-class performance in long-tailed object detection datasets.

A simple Python implementation for Rare Event Logit model of King and Zeng (2001)

Bouncy Particle Sampler in rare event simulation

A Python library for rare dynamical event sampling in non-equilibrium systems using Transition Path Sampling (RTP-TPS) and Variational Path Sampling (VPS).

Rare events simulation on a football championship in Python

Priority-guided seed-path/counterexample generation (proof of concept)

Code and experiments for evaluating the operational limits of early-warning models in wastewater treatment plants.

julia code to simulate a simple molecular dynamics models

Optimal control solution for conditioning of a random walk with exponentially distributed jump size in a cylinder

Bias in Logistic Regression with Rare Event Data

A model wrapping POP for running pyTAMS