Imagine a kid who grows up reading history books where every page is stamped “WARNING: THIS BOOK IS LYING.” You’d expect them to come away skeptical, or at least uncertain. New research on so-called ...
A complete C++ implementation of the Python hmmlearn library, featuring modern C++17, Eigen for linear algebra, and comprehensive HMM algorithms. hmm_c++/ ├── include/ # Header files │ ├── types.hpp # ...
PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax ...
A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...
The official code repo! This repo contains code for training, inference, and scoring of TransFusion ASR models from our paper, "TransFusion: Transcribing Speech with Multinomial Diffusion". The ...
tascCODA posits a Dirichlet-Multinomial model for Y i,⋅ for each sample i ∈ 1…, n, thus accounting for the compositional nature of the count data. The covariates are associated with the features ...
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