Native Metrics Agent for the Application Insights Node.js SDK
Обновлено 2024-11-07 23:39:12 +03:00
Essential metrics for a healthy site.
Обновлено 2024-11-07 02:40:00 +03:00
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Обновлено 2024-11-07 01:00:08 +03:00
Statsd metrics exporter for https://github.com/metrics-rs/metrics/
Обновлено 2024-11-06 19:04:13 +03:00
Automated auditing, performance metrics, and best practices for the web.
developer-tools
web
performance-analysis
audit
best-practices
pwa
chrome-devtools
performance-metrics
Обновлено 2024-11-05 21:36:36 +03:00
Azure Monitor for Containers
Обновлено 2024-11-04 05:15:39 +03:00
Annotations for Glean Metrics
Обновлено 2024-10-24 22:08:27 +03:00
Library to analyze and collect metrics on source code
Обновлено 2024-10-15 01:48:41 +03:00
Highly configurable, extensible and performant Service Fabric watchdog service that, out of the box, monitors a broad range of physical machine resources that tend to be very important to Service Fabric services and maps these metrics to SF entities. It targets both Windows and Linux SF clusters.
Обновлено 2024-10-07 21:30:27 +03:00
A Chrome extension to measure essential metrics for a healthy site
Обновлено 2024-09-11 17:23:48 +03:00
Tools to compare metrics between datasets, accounting for population differences and invariant features.
Обновлено 2023-07-07 00:36:40 +03:00
Visual Studio Tools for AI is a free Visual Studio extension to build, test, and deploy deep learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.
Обновлено 2023-06-12 23:27:14 +03:00
Exporter based on Hadoop clusters that use Ambari as their administrative tool, leveraging Ambari API to export cluster's metrics.
Обновлено 2023-06-12 21:22:42 +03:00
R library for common information retrieval metrics
Обновлено 2023-06-05 13:06:42 +03:00
The DSB benchmark is designed for evaluating both workloaddriven and traditional database systems on modern decision support workloads. DSB is adapted from the widely-used industrialstandard TPC-DS benchmark. It enhances the TPC-DS benchmark with complex data distribution and challenging yet semantically meaningful query templates. DSB also introduces configurable and dynamic workloads to assess the adaptability of database systems. Since workload-driven and traditional database systems have different performance dimensions, including the additional resources required for tuning and maintaining the systems, we provide guidelines on evaluation methodology and metrics to report.
Обновлено 2023-05-30 11:30:36 +03:00
Azure Synapse Spark Metrics provides easy metrics monitoring functions for Synapse services, especially, Apache Spark pool instances, by leveraging Prometheus, Grafana and Azure APIs.
Обновлено 2023-05-23 03:17:44 +03:00
A tool to monitor Kafka availability and latency and report these metrics to SQL Server, JMX, CSV, SLF4J endpoints.
Обновлено 2023-04-17 04:20:52 +03:00
Package for metrics collection in Docker projects
Обновлено 2023-03-08 13:26:47 +03:00
Measuring Firefox quality metrics for the Product Integrity team
Обновлено 2023-03-04 02:07:28 +03:00
Обновлено 2022-11-28 22:34:49 +03:00
Suite of libraries and applications for collecting high volume performance counter data
Обновлено 2022-11-28 22:14:22 +03:00
A fast numpy-based implementation of ranking metrics for information retrieval and recommendation.
Обновлено 2022-08-22 22:05:09 +03:00
Metrics exporter from Sarama to Prometheus.
Обновлено 2022-03-16 20:34:56 +03:00
An android library to measure code execution time. No need to remove the measurement code, automatically becomes no-op in the release variants. Does not compromise with the code readability and comes with features that enhance the developer experience.
android
java
performance
performance-analysis
kotlin
performance-metrics
android-library
android-application
android-development
execution-time
kotlin-android
measurement
measurements
Обновлено 2022-03-02 20:28:39 +03:00
Machine learning metrics for distributed, scalable PyTorch applications.
Обновлено 2021-09-14 14:47:59 +03:00
Plugin to send metrics to mdm using statsd
Обновлено 2021-06-18 00:50:31 +03:00
The online learning framework of metrics advisor
Обновлено 2021-05-25 06:42:08 +03:00
A Splunk add-on (aka modular input) that brings Metrics and Diagnostic Logs from various Azure ARM resources and the subscription-wide Activity Log (aka Audit Log) to Splunk Enterprise.
Обновлено 2020-12-10 13:36:32 +03:00