Pele, the Python energy landscape explorer is a package that provides tools for global optimization, energy landscape exploration, data analysis, and visualization.
A python implementation of the Bayesian analysis method Nested Sampling. This implementation is geared towards allowing statistical physicists to use this method for thermodynamic analysis.
Superposition enhanced nested sampling is a new method for Bayes analysis and thermodynamic sampling developed by us.
I contributed the basinhopping global optimization algorithm to the SciPy open source scientific python package.
A package to compute mean first passage times, rates, and committor probabilities for a continuous time Markov process. This package has several different methods implemented, each is appropriate in different circumstances.
A C++ implementation of the LBFGS optimization algorithm.