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Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. Bayesian statistics is a departure from...
Soss is a library for probabilistic programming. Soss and DynamicPPL are both maturing and becoming more complete, so the above will change over time. It's also worth noting that we (the Turing team and I) hope to move toward a natural way of using these systems together to arrive at the best of both.
HMMBase is not maintained anymore. It will keep being available as a Julia package but we encourage existing and new users to migrate to HiddenMarkovModels.jl which offers a similar interface. For more information see HiddenMarkovModels.jl: when did HMMs get so fast?. HMMBase provides a lightweight and efficient abstraction for hidden Markov models in Julia. Most HMMs libraries only support discrete (e.g. categorical) or Normal distributions. In contrast HMMBase builds upon Distributions.jl...
This is my implementation of Langton's Ant (a popular turing machine, see http://en.wikipedia.org/wiki/Langton%27s_ant for more information) using C#. Supports multiple ants and threading. Video: http://www.youtube.com/watch?v=Vu9C_1DH31k
Tuatara Turing Machine Simulator is a graphical tool for designing and executing Turing Machines. Designed primarily for teaching purposes, it features a simple point-and-click interface.
Visual Turing Machine is a tool for visually designing Turing machines. This means no coding in abstract scripting languages, but simple point&click design. It uses the a..z symbol set, plus the "empty" # symbol, and also simulates an infinite tape.