Enables computing the gradient of the parameters of Hidden Markov Models (HMMs)

Genetic Algorithm, Curve Fitting, Reinforcement Learning, Iteration Value, Iteration Policy, FrozenLake-v1 Environment, Q-Learning, Hidden Markov Models, ML, Linear Regression, Multiple Regression, Classification, Decision Tree, K-Nearest Neighbors, Logistic Regression, Optimization, Random Forest, Gradient Boosting, XGBoost Classifier

A platform for targeted annotation of (meta)genomic and (meta)transcriptomic datasets using HMM sets.

A state-of-the art Hidden Markov Model Framework for Sentiment Analysis as well as Classification Tasks in general.

Making BUSCO HMMs useable in Anvi'o.

Software tools to collect Coronavirus sequences and create protein and nucleotide HMMs

🔁Graphical models, Recurrent Neural Networks and SIFT algorithm for image processing, signal analysis and timeseries forecasting (MD Course: Intelligent Systems for Pattern Recognition)

Natural Language Processing Projects

HMM Models Generated from EPS Operon Prediction Project.

Visual speaker recognition method using HMM for classification and regression trees for features extraction

"IDOPS IDentification of Pesticidal Proteins", a profile HMM-based tool to detect pesticidal sequences and compare their genetic context