Showing 8 open source projects for "data collection algorithm"

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  • 1
    SecLists

    SecLists

    The Pentester’s Companion

    SecLists is the ultimate security tester’s companion. It is a collection of various types of lists commonly used during security assessments, all in one place. SecLists helps to increase efficiency and productivity in security testing by conveniently providing all the lists a security tester may need in one repository. List types include those for usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and many more. All the tester will have to do is pull this repo...
    Downloads: 48 This Week
    Last Update:
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  • 2
    Deepchecks

    Deepchecks

    Test Suites for validating ML models & data

    Deepchecks is the leading tool for testing and for validating your machine learning models and data, and it enables doing so with minimal effort. Deepchecks accompany you through various validation and testing needs such as verifying your data’s integrity, inspecting its distributions, validating data splits, evaluating your model and comparing between different models. While you’re in the research phase, and want to validate your data, find potential methodological problems, and/or validate...
    Downloads: 3 This Week
    Last Update:
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  • 3
    Kotest

    Kotest

    Powerful, elegant and flexible test framework for Kotlin

    ... conditional evaluation, powerful data-driven testing, and more. The Kotest assertions library is a Kotlin-first multi-platform assertions library with over 300 rich assertions. It comes equipped with collection inspectors, non-deterministic test helpers, soft assertions, modules for arrow, json, kotlinx-datetime and much more.
    Downloads: 0 This Week
    Last Update:
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  • 4

    Java/C Comparative Benchmarks

    Java and C Comparative Performance Benchmarks

    A collection of software benchmarks developed to compare the performance of Java with C on identical code. No language libraries were used to avoid implementation differences. Some of the benchmarks are also implemented in Python and Scala. There are benchmarks for bit twiddling, numerical computing, data structure manipulation, concurrent computing, callouts to native libraries, and, graphics processing units (GPU) utilization.
    Downloads: 0 This Week
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  • 5

    dbtesma

    efficient data generation for benchmarks and performance analysis

    Highly efficient Data Generator for Benchmarks and Algorithm Performance Analysis. Supports fully configurable schemata as well as meta structures like Foreign Keys and Functional Dependencies.
    Downloads: 0 This Week
    Last Update:
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  • 6
    A collection of reporting utilities specific to The Grinder test tool. The tools consist of a reporting database and graphing utilites based upon jyplot and jFreechart written in jython.
    Downloads: 0 This Week
    Last Update:
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  • 7
    OCaml-Reins is a data structure library for O'Caml that includes cursor based iterators, a collection of functors to minimize client-side boilerplate, a powerful on-line benchmarking system and Quickcheck style testing infrastructure.
    Downloads: 0 This Week
    Last Update:
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  • 8
    TRAM (short for Trace Analyse Modules) is a collection of plug-ins for the sofware Tulip (see www.tulip-software.org), which is extended in this way to analyse and display traces (resp. trace-data).
    Downloads: 0 This Week
    Last Update:
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