Machine learning, in numpy
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Updated
Oct 29, 2023 - Python
Machine learning, in numpy
State Space Models library in JAX
Framework to learn Named Entity Recognition models without labelled data using weak supervision.
Hidden Markov Models for Julia.
Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.
Bayesian hidden Markov models toolkit
💻 A repository with comprehensive instructions for using the Festvox toolkit for generating Emotional speech 🔈 from text
Full Bayesian Inference for Hidden Markov Models
Python toolkit for Visual Speech Recognition
High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).
Hidden Markov Models - Viterbi and Baum-Welch algorithm implementation in Python
An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
Enables computing the gradient of the parameters of Hidden Markov Models (HMMs)
Markov Chains and Hidden Markov Models to generate and correct sentences
Fast Bayesian Hidden Markov Model with Wavelet Compression
Repo containing computational neuroscience notebooks and a project detecting latent states in neural activity using Hidden Markov Models on spiking data, made during the Neuromatch Academy 2020.
SigMa is a probabilistic model for the sequential dependencies of mutation signatures
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