Search Results for "data collection algorithm"
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Showing 9 open source projects for "data collection algorithm"
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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 your model and evaluate it. ... -
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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. -
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Kotest
Powerful, elegant and flexible test framework for Kotlin
Kotest is a flexible and comprehensive testing tool for Kotlin with multiplatform support. Powerful, elegant, and flexible test framework for Kotlin with additional assertions, property testing, and data-driven testing. The Kotest test framework enables tests to be laid out in a fluid way and execute them on JVM, Javascript, or native platforms. With built-in coroutine support at every level, the ability to use functions such as test lifecycle callbacks, extensive extension points, advanced conditional evaluation, powerful data-driven testing, and more. ... -
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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. -
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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. -
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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.
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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.
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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).
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BP-Tools
Set of useful tools for payment service development
The BP-Tools set consist from applications supporting EFT testing, benchmarking and transaction service development. BP-Tools suite currently consists of following three components: - BP-CCALC: Cryptographic Calculator - BP-CardEdit: Thales P3 Input/Output file editor - BP-EMVT: EMV Tool - BP-HCMD: Thales HSM Commander -
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