GitHub

NanoRMS: predicting NANOpore Rna Modification Stoichiometry

NanoRMS predicts modification stoichiometries by classifying reads into modified/unmodified, based on their per-read features (current intensity, dwell time and/or trace). NanoRMS can be run in single ...
Hacker

10 Best Python Machine Learning Tutorials

Python is a high-level programming language that is widely used for Machine Learning (ML) applications. It is known for its readability, versatility and ease of use, making it an ideal choice for ...
GitHub

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

Sequentia is a Python package that provides various classification and regression algorithms for sequential data, including methods based on hidden Markov models and dynamic time warping. Some ...
Scientific Research Publishing

Application of Weighted Cross-Entropy Loss Function in Intrusion Detection ()

1 School of Computer Science and Engineering, Sichuan University of Science and Engineering, Yibing, China. 2 Key Laboratory of Higher Education of Sichuan Province for Enterprise Informationalization ...