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The Scala API for Quantities, Units of Measure and Dimensional Analysis

Talks at conferences, meetups, hackathons, and more, plus my speaker rider for good measure.

SDK for Android to measure your apps with Matomo. Works on Android phones, tablets, Fire TV sticks, and more!

Fast computation of Krippendorff's alpha agreement measure in Python.

goben is a golang tool to measure TCP/UDP transport layer throughput between hosts.

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.

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

F# units of measure for primitive non-numeric types

API of Articut 中文斷詞 (兼具語意詞性標記)：「斷詞」又稱「分詞」，是中文資訊處理的基礎。Articut 不用機器學習，不需資料模型，只用現代白話中文語法規則，即能達到 SIGHAN 2005 F1-measure 94% 以上，Recall 96% 以上的成績。

Video solution for sport analysis. Capture, inspect, compare, annotate and measure technical performances.

If you can measure it, consider it predicted

Firmware for NanoVNA, NanoVNA-H, NanoVNA-H4. Support SD Card, external Serial connection, fast measure, fast exchange vs CPU

C# Source Generator to create value-object, inspired by units of measure.

Measure 8 EEG channels with Shield PiEEG-8 and RaspberryPi

Measure and optimize the energy consumption of your AI applications!

Doing simple retrieval from LLM models at various context lengths to measure accuracy

A VSCode extension to measure type complexity within a project.

Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.

Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline

Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.

CLI, Web, LSP, and MCP toolkit to measure spec coverage in Rust codebases

CLI / Framework for Agent Skills - create, test, measure and improve skill quality and effectiveness

turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

Your AI coding agent is only as reliable as the harness around it. Measure that harness in seconds with harness-score.