covid-19 Rt real time computation
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Updated
Jun 12, 2024 - Jupyter Notebook
covid-19 Rt real time computation
Generating Neural Spatial Interaction Tables
Machine learning algorithms for many-body quantum systems
R package for statistical inference using partially observed Markov processes
CmdStanR: the R interface to CmdStan
Generalised Bayesian inversion framework
Gaussian processes in TensorFlow
Python library for the evaluation of simulation data. The library provides functionalities to load simulation results into Python, to perform standard evaluation algorithms for Markov Chain Monte Carlo algorithms. It further can be used to generate a pytorch dataset from the simulation data.
Python implementation of the cellular automata model corresponding to Lange, Schmied et. al.
Correlation, sampling, sensitivity, inference and random linear algebra routines in rust
Data analysis of 1701 supernovae distances to estimate cosmological parameters using Markov Chain Monte Carlo
Pre-compiled CmdStan models in R packages
Neural quantum states in Julia
Notes of 'Probabilistic Machine Learning: Advanced Topics' by Kevin Murphy
Coding ML models, Sampling Methods, Feature Selection algorithms from scratch
Diffusive Nested Sampling like you've never seen it before
GammaRay: a graphical interface to GSLib and other geomodeling algorithms. *NEW* in May, 6th: Drift analysis.
Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler
A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
Course notes for "Bayesian modelling" (MATH80601A)
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