Found 45 packages
Microsoft Machine Learning Scoring library for deep learning model inference. Current version of the library supports inferencing on ONNX v1.3 and TensorFlow v1.10.0 models. The library supports CPU execution with MKL/MKLDNN acceleration. Also supports CUDA GPU devices. For CPU execution of ONNX models, no extra libraries are required. However for scoring TensorFlow models, the CUDA libraries are needed for both CPU and GPU execution. Download and install CUDA 9.2 toolkit, CUDNN and device drivers separately. This package provides a .Net standard 1.3 compatible module for maximum portability. Currently supported platforms include x64 CPU on Windows OS only.
Package to score QTI assessmentResults
This class library calculates a score from 0 to 1 based on the similarity of two supplied strings.
Package Description
This is the Mastercard SDK for the service: MasterCard-FraudScoring
iCra scoring model shared library
Implementation of CardboardKnight.Scoring, for scoring board games in an metadata+rule format way.
This NuGet package calculates the score based on the vector of the Common Vulnerability Scoring System (https://www.first.org/cvss/specification-document) in version 4.0, 3.1, 3.0 and 2.
StyloFlow Retrieval Core - Universal retrieval infrastructure for cross-modal search (documents, images, audio, video). Includes signal-based analysis waves, wave orchestration, unified entity model, and scoring algorithms (BM25, TF-IDF, vector similarity).
An AutoFaker (AutoBogus) override for the object RangePointsPair
Winklestein is a hybrid string similarity algorithm that combines Levenshtein Distance and Jaro–Winkler Similarity to provide accurate, robust, and tunable similarity scoring for short and medium-length text inputs.
A small, strongly typed data contract for associating a numeric range with a corresponding point value.