llm orchestrationQuick Start ↓
Get Started with pyhsmm
Library for Bayesian HMM and HSMM inference with nonparametric extensions.
Getting Started
1
Read the official documentation
The pyhsmm team maintains comprehensive docs that cover installation, configuration, and common patterns.
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Create an account
Visit the pyhsmm website to create your account and explore pricing options.
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Review strengths, tradeoffs, and alternatives
Our full tool profile covers pyhsmm's strengths, weaknesses, pricing, and how it compares to alternatives.
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Researchers working with Bayesian nonparametric models who need efficient inference methods for HMMs and HSMMs.
Academic projects focusing on unsupervised time-series analysis using Bayesian approaches.