scoring-algorithm

On-Target and Off-Target Scoring Algorithms for CRISPR gRNAs

Python package to facilitate the use of popular docking software

GMPE-estimation implements a one-stage estimation algorithm to estimate ground-motion prediction equations (GMPE) with spatial correlation. It also quantifies the uncertainty of spatial correlation and intensity measure predictions.

Protein Recognition Index (PRI), measuring the similarity between H-bonding features in a given complex (predicted or designed) and the characteristic H-bond trends from crystallographic complexes

R package for TransTEx: Novel tissue-specificity scoring method for grouping human transcriptome in-to different expression groups

Primary School Mathematics Papers Collection Dataset

This is a service written in node js which calculates fantasy points/scores for a match. The industry of fantasy gaming in India is moving at a great pace where you can continuously find new apps promoting and catering to fantasy gaming (especially cricket) for its audience. With the boom which seems never-ending, I thought of an idea to have a …

List scoring algorithm. Analyse data using a range based procentual proximity algorithm.

account scoring system for the recommendation algorithm

A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually related to the intended target variable.

Parallel and sequential algorithms for finding philogenetic trees using Maximum Parsimony. The scoring algorithm used is Fitch scoring algorithm. Exhaustive search and Branch and Bound search algorithms are implemented in sequential variant. SPMD method is used in parallel implementation.

This repo contains the source code for Jeopardy and attack-defense CTF scoring simulators.

Python Implementation of lexical vector embedding similarity scoring, zero-shot classification of images and n-gram based scoring to compare textual summaries

A hands‑on, first‑principles guide to fitting logistic regression via the Iteratively Reweighted Least Squares (IRLS) algorithm complete with mathematical derivations, R code from scratch, and a real‑world S&P data case study to bring your statistical modeling skills to the next level.

A simple scoring algorithm for statistical data generation

📄 Official implementation regarding the paper "Evaluating Artificial Images Through Score-based Classifications".

Projet de modélisation supervisée - SCORING