Search Results for "fast performance"
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Showing 14 open source projects for "fast performance"
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Interpolations.jl
Fast, continuous interpolation of discrete datasets in Julia
This package implements a variety of interpolation schemes for the Julia language. It has the goals of ease of use, broad algorithmic support, and exceptional performance. Currently, this package supports B-splines and irregular grids. The API has been designed with the intent to support more options. Initial support for Lanczos interpolation was recently added. Pull requests are more than welcome! It should be noted that the API may continue to evolve over time. -
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Python Outlier Detection
A Python toolbox for scalable outlier detection
PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as outlier detection or anomaly detection. PyOD includes more than 30 detection algorithms, from classical LOF (SIGMOD 2000) to the latest COPOD (ICDM 2020) and SUOD (MLSys 2021). Since 2017, PyOD [AZNL19] has been successfully used in numerous academic researches and commercial products [AZHC+21, AZNHL19]. PyOD has multiple neural... -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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Real-ESRGAN ncnn Vulkan
NCNN implementation of Real-ESRGAN
...It provides command-line tools for upscaling images with selected models, allowing users to specify input/output paths, scaling factors, tile sizes, and model names from a compressed model set, which is particularly helpful for larger images or automated workflows. The Vulkan backend enables fast execution on GPUs from different vendors (Intel/AMD/Nvidia) with broad support, making it suitable for non-Python environments, production systems, or performance-constrained setups. -
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StructPie
A set of C libraries to implement data structures and algorithms
Struct-Pie (Structures Pie) is a set of C shared libraries to implement data structures and algorithms so that they can be used/integrated easily into C projects. LIFO & FIFO Stack, Binary Search Tree, Priority Queue and a Hash Table are implemented and included in this package. Future releases will have many other data structures. The hash table in this package uses separate chaining to avoid collision. In the "hash_table" directory, the hash table implementation uses linked lists.... -
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AhoCorasickDoubleArrayTrie
An extremely fast implementation of Aho Corasick algorithm
AhoCorasickDoubleArrayTrie is a Java implementation of the Aho–Corasick multi-pattern matching algorithm that is optimized using a Double-Array Trie data structure. It is designed for fast keyword scanning across large texts, where you want to search for many patterns simultaneously and efficiently. The core idea is to build an automaton from a dictionary of patterns, then stream through input text to emit matches with minimal overhead. By using a double-array trie representation, the project emphasizes performance and memory efficiency compared to simpler pointer-heavy trie structures, which can matter a lot for large dictionaries or latency-sensitive services. ... -
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This is a recursive C++ source code of the Fast Fourier Transform algorithm allowing parallelization. Also a performance test and its results on my computer are provided. The Performance test suggest to use 4 threads for parallelization. With this one can beat the implementation in "Numerical Recipes in C++" for large signals with more than 2^16 / 2^17 / 2^18 samples depending on the hardware and software.
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ViennaCL
Linear algebra and solver library using CUDA, OpenCL, and OpenMP
ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects. -
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Open Simplex Project
A Simple GUI Implementation of the Simplex Algorithm
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Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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Concurrency Freaks
A library with Scalable (and fast) Read-Write locks
This library contains Java code for several Read-Write Locks: - ScalableRWLock: A rw-lock that scales with the number of threads doing read-lock. - ScalableRWLockS: Similar to above but different implementation. - ScalableStampedRWLock: An hybrid of the ScalableRWLock and the StampedLock provided in JDK 8, which provides good overall performance. - FAARWLock: Uses a Fetch-And-Add operation for the read-lock which means it is not so scalable as ScalableRWLock but it is still faster than... -
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Funnel Sort
command line sort utility
Moved to GitHub https://github.com/fedups A command-line utility to sort files. Funnel is a sort utility to sort files, large and small. It efficiently handles fixed length records and variable length records. Funnel easily handles ascii (readable) data and binary data. There are many more features in Funnel. It is easy to use and very fast. All documentation is on the Wiki. -
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MatrixTurn
MatixTurn is an AS3 Library used for Flash games optimizations.
MatixTurn is an AS3 Library used for Flash games optimizations. The technique is to transform each vector graphic animation, into cached matrices, for a better computer calculation and a very fast real time rendering. Keep your files low in datasize without manually transform each of your your movie clip in bitmap. All process is done on real time processing with integrated progress bar per-loading system. -
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Fast cython implementation of trie data structure for Python. Development is inactive, but moved to: http://github.com/martinkozak/cytrie.
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This distribution contains a novel fast CRC generation algorithm developed by Intel. This algorithm runs at under 3 cycles per byte (vs. 7) and thus triples the performance of existing CRC implementations. Slicing-by-8 uses an 8KB cache footprint.
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