Strigo's metrics emitter for node applications
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Updated
Mar 4, 2020 - JavaScript
Strigo's metrics emitter for node applications
Base10 is a metrics abstraction layer
OBJECTIVE: Presenting an EDA / ML Models (DTR & RF) solution to help company X trying to control attrition by answering the following questions: What type of employees are leaving ? Which employees are prone to leave next ? Predict the future (DT & RF) employee who would tend to leave the company X in the future ? Recommendation for company deciβ¦
Provide calculation methods often used in digital advertising industry
Side project of a publisher plugin to the Intel Snap Framework.
C++ implementation of privacy preserving metrics reporting using Rappor (Randomized Aggregatable Privacy Preserving Ordinal Responses), with Qt integration
A simple and intuitive metrics collection library for Prometheus.
An abstract event consumer API
C++ library to handle metric conversion
Machine/Deep Learning metrics implementation in python
C libraries to expose metrics using the Prometheus exposition format
Metrics library and utilities for Go
A C++ client library for exporting metrics to Prometheus
A simple Plug and Play Library for getting analytics. See website for docs.
Metrics collection library for Google Dataflow
This library implements various metrics (including Kaggle Competition, Medicine) for evaluating ML, DL, AI models, and algorithms. πππππ
A Python library to evaluate mean Average Precision(mAP) for object detection. Provides the same output as PASCAL VOC's matlab code.
C++ header-only prometheus client library for quickly and easily adding metric (and profiling) functionality to C++ projects.
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