Search Results for "numpy python 3.4"
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Showing 12 open source projects for "numpy python 3.4"
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NumCpp
C++ implementation of the Python Numpy library
A Templatized Header Only C++ Implementation of the Python NumPy Library. The main data structure in NumCpp is the NdArray. It is inherently a 2D array class, with 1D arrays being implemented as 1xN arrays. There is also a DataCube class that is provided as a convenience container for storing an array of 2D NdArrays, but it has limited usefulness past a simple container. -
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SageMaker TensorFlow
SageMaker specific extensions to TensorFlow
This package contains SageMaker-specific extensions to TensorFlow, including the PipeModeDataset class, that allows SageMaker Pipe Mode channels to be read using TensorFlow Datasets. This package supports Python 3.7-3.9 and TensorFlow versions 1.7 and higher, including 2.0-2.9.1. For TensorFlow 1.x support, see the master branch. sagemaker-tensorflow releases for all supported versions are available on PyPI. SageMaker TensorFlow extensions builds on Python 3.4-3.9 in Linux with a TensorFlow version >= 1.7. Older versions of TensorFlow are not supported. ... -
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Faiss
Library for efficient similarity search and clustering dense vectors
...It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It assumes that the instances are represented as vectors and are identified by an integer, and that the vectors can be compared with L2 (Euclidean) distances or dot products. ... -
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Armadillo
fast C++ library for linear algebra & scientific computing
* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:... -
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Prime number ( primenumbers )
Benchmark for 50 000 000 prime numbers as single and multicore
...Added C files for gcc compiler in Windows 10 and for Xcode C command line project in MacOS ( tested on Mac mini M2 with single core 16 to 25 sec and multicore 2,3 to 5 second by compiler -O switch). Surprise, same code in JavaScript for M2 chip in Safari, 12,5 sec single core and 3,3 sec multi core. Python version with numba and numpy on MacOS with M2, 3,78 sec. -
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dune-archiso
Archiso profile based on CyberOS with DUNE Numerics
...We included the following Arch Linux official repositories: - [core] - [extra] - [community] - [multilib] as well as Third-party repositories: - [arch4edu] - [cyber] - [dune-archiso-repository-core] - [dune-archiso-repository-extra] - [dune-core] - [dune-staging] - [dune-extensions] - [dune-pdelab] - [dune-fem] - [opm] - [dumux] In addition, we provide the packages of some (python) modules of DUNE Numerics (version 2.8.0), DuMux (version 3.4), Open Porous Media (version 2021.10). The full list of packages is described in https://dune-archiso.gitlab.io/packages Enjoy. I don't belong to dune-project. All the blame falls on me (github.com/carlosal1015). -
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PyVE
PyVE is image analysis and visualization environment
PyVE is image analysis and Visualization Environment focused at clinical use. At the core of it there is a powerful viewer for displaying 3D datasets (MRI, PET, CT) based on VTK. It all comes precompiled allowing painless access to Python (2.x), the ITK toolkit for image analysis, numpy/scipy for numerical calculations, Qt and PyQt4 for the development Graphical User Interfaces. It is what you need for fast prototyping and development of more complex projects. -
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mds-utils
General purpose utilities for C++ and Python developers
...Amongst them, some type traits for detecting different uBLAS matrix types. 3. some useful classes that allow to treat the old C FILE pointer as a C++ stream. 4. C++ wrappers of the main Python objects, independent of those in Boost Python. Wrappers are provided also for NumPy arrays. 5. C++ classes that help on treating Python file objects as C++ streams. 6. a review and refactor of the indexing support in Python extensions. Now access in write mode is supported too. More details on the Doxygen documentation. ... -
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Easy Python Decompiler
Python 1.0 - 3.4 bytecode decompiler
Easy Python Decompiler is python bytecode decompiler, decompiles pyc & pyo files. Python version 1.0 to 3.4 are supported. This project is based two excellent decompiler "Uncompyle2" & "Decompyle++" No python installation is necessary for decompiling! You can decompile a single file or a whole directory. Unicode filenames are supported.. -
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mlpy
Machine Learning Python
...mlpy is available both for Python >=2.6 and Python 3.X. -
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WARNING! HPGL source code (NOT the releases, they are still here) now moved to the GitHub at https://github.com/hpgl/hpgl. Please, update your bookmarks!
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Shovel Library
Simple graphics, keyboard and mouse library with a C interface
.... === Functions include === * Window creation * 32-bit RGBA bitmap creation * Fast software based drawing routines (pixels, lines, text etc) * Mouse and keyboard input === Details === * Written in C * Python bindings provided * Permissive BSD licence * Win32 version currently. Linux and Mac planned. === Performance === Running on Windows XP on an Intel Core i3 530 (3.4 GHz): * Putpixel - 31 million per second * Rectangle fill - 11 billion pixels per second * Text render - 11 million characters per second (8 point, fixed width font)
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