Virtual modular synthesizer plugin

Stream summarizer and cardinality estimator.

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Fastest file searching tool for macOS

A morphological solution for Russian and English language written completely in PHP. Provides classes to inflect personal names, geographical names, decline and pluralize nouns, generate cardinal and ordinal numerals, spell out money amounts and time intervals. / Морфологическая библиотека для английского и русского языков. Склоняет имена собственные, названия географических объектов, склонение и плюрализация имен собственных и другое.

A modular, “mobile-first” CSS framework built with performance and scalability in mind.

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正规子群.AI Agent | SubgroupX: A high-performance AI Agent for offensive security, Coding, CTF operations, and active defense protocols. Architected by Normal Subgroup. 邀请测试阶段中, 为什么还没有开源, 参见: https://github.com/Cardinal-Platform/Hall-of-Shame

C library for estimating cardinality in streams for which it is infeasible to store all events in memory

Stanford Cardinal's algorithms (Overall Rank 2) in IMC Prosperity 2023

Component API to add external data to objects.

A C# class library that will calculate distance and cardinal direction between two sets of coordinates and provides the lat/long boundaries around an origin coordinate allowing for simple SQL or LINQ selection of locations within the given radius.

Collection cardinality matchers, extracted from rspec-expectations

Open-source framework for rapid development of modern, interoperable digital health applications on iOS devices

Syntax highlights JavaScript code with ANSI colors to be printed to the terminal.

A probabilistic data structure for frequency/k-occurrence cardinality estimation of multisets.

Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters

Automatic detection and silencing of high cardinality series in Prometheus.

High-Fidelity Multiphysics

A framework for rapid reporting API development; with out of the box support for high cardinality dimension lookups with druid.

Code and workloads from the Learned Cardinalities paper (https://arxiv.org/abs/1809.00677)

Smooth curves through points. No control points needed. Native implementation.

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.

Neural Relation Understanding: neural cardinality estimators for tabular data

A Python IRC bot, designed to make adding functionality quick and simple. (est. 2013)

Mirror of development repo: https://github.com/Cardinal-Cryptography/aleph-node

HyperLogLog-based set cardinality estimation library

Cardinality Estimation Benchmark

Cantor provides utilities for estimating the cardinality of large sets.

State-of-the-art neural cardinality estimators for join queries