Congressional Bill Policy Area Classification
This post explores machine learning models for classifying policy area of congressional bills.
This post explores machine learning models for classifying policy area of congressional bills.
This study provides a detailed exploration of the legislative processes, party dynamics, and key activities of the 117th Congress, employing data visualization and NLP techniques.
This post explores the simulation of Pt adatom diffusion on a Pt(100) surface using LAMMPS, suggesting its potential as a simple toy model for machine learning applications, updating the previous Cu adatom diffusion simulation.
This repository contains scripts for generating trajectories of mini proteins using GROMACS. Mini proteins are small proteins with only a few amino acids, and they are frequently used as test cases for new methods in molecular dynamics, from new force fields to new sampling algorithms. This repository contains scripts for generating trajectories of mini proteins, including alanine dipeptide, glycine dipeptide, isoleucine dipeptide, leucine dipeptide, methionine dipeptide, phenylalanine dipeptide, proline dipeptide, tryptophan dipeptide, and valine dipeptide.
Discover the CoQA dataset: A resource for conversational question answering challenges in NLP.