-
Updated
Jun 10, 2026 - Jupyter Notebook
#
latent-models
Here are 4 public repositories matching this topic...
-
Updated
Feb 26, 2025
We propose a Conditional Hidden Markov Model (CHMM) for speaker diarization, achieving 77% accuracy on NPR transcripts. CHMM offers interpretability, making it a viable supplement to deep learning methods.
-
Updated
Feb 25, 2025 - Jupyter Notebook
A Laplace library of latent time series components for Stan — local level, local linear trend, stochastic and trigonometric seasonality, stochastic volatility, and latent-Gaussian counts.
bayesian-methods bayesian-statistics local-linear-models baysian-inference stochastic-volatility local-level-model local-level-trend latent-models local-level laplace-language laplace-library trigonometric-seasonal-model latent-gaussian-counts
-
Updated
Sep 18, 2026
Add this topic to your repo
To associate your repository with the latent-models topic, visit your repo's landing page and select "manage topics."