Search Results for "numpy python 2.7" - Page 6
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Showing 276 open source projects for "numpy python 2.7"
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RELEASE NOTE: Get raxmlGUI 2.0 at the NEW PROJECT LOCATION: https://antonellilab.github.io/raxmlGUI/ raxmlGUI is a graphical user interface to RAxML, one of the most popular and widely used software for phylogenetic inference using maximum likelihood. A userfriendly graphical front-end for phylogenetic analyses using RAxML (Stamatakis, 2006). Please cite: Silvestro, Michalak (2012) - raxmlGUI: a graphical front-end for RAxML. Organisms Diversity and Evolution 12, 335-337. DOI:...
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Raven Python
Raven is the legacy Python client for Sentry
Raven is the official legacy Python client for Sentry, officially supports Python 2.6–2.7 & 3.3–3.7, and runs on PyPy and Google App Engine. It tracks errors and exceptions that happen during the execution of your application and provides instant notification with detailed information needed to prioritize, identify, reproduce, and fix each issue. It provides full out-of-the-box support for many of the popular Python frameworks, including Django, and Flask. Raven also includes drop-in support... -
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MITIE
MITIE: library and tools for information extraction
... Machines[3]. MITIE offers several pre-trained models providing varying levels of support for both English, Spanish, and German trained using a variety of linguistic resources (e.g., CoNLL 2003, ACE, Wikipedia, Freebase, and Gigaword). The core MITIE software is written in C++, but bindings for several other software languages including Python, R, Java, C, and MATLAB allow a user to quickly integrate MITIE into his/her own applications. -
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pytkapp
Python package for develop an SDI/MDI application and set of widgets.
... - run demo of basic widgets pytkapp/demo/run_tkwtldemo.py - run demo of tablelist-based widgets pytkapp/demo/run_diademo.py - run demo for dialog widgets (selector, xmessage) Notes ========= 1) PyTkApp package was tested on python 2.7, 3.1 2) If you planning to use tablelist-based widgets then you need to download tcl Tablelist package from http://www.nemethi.de/ -
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base64io
A stream implementation for Python that provides transparent base64
A stream implementation for Python that provides transparent base64 encoding and decoding of an underlying stream. This project is designed to develop a class, :class:`base64io.Base64IO`, that implements a streaming interface for Base64 encoding. Python has supported native Base64 encoding since version 2.4. However, there is no streaming interface for Base64 encoding, and none is available from the community. The legacy base64.encode and base64.decode interface lets you shuffle data between... -
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Ecuacion curva demanda
Determinacion de ecuación de curva de demanda
Usa Pandas, numpy y tkinter de python para desarrollar un algoritmo que al ingresar los datos históricos de demanda de energía devuelve como resultado una ecuación que puede ser usada para modelamiento, simulación y proyecciones -
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Vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python
Data science solutions, insights, dashboards, machine learning, deployment. We start at 100GB. Vaex is a high-performance Python library for lazy Out-of-Core data frames (similar to Pandas), to visualize and explore big tabular datasets. It calculates statistics such as mean, sum, count, standard deviation etc, on an N-dimensional grid for more than a billion (10^9) samples/rows per second. Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive... -
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PySptools
Hyperspectral algorithms for Python
A lightweight hyperspectral imaging library that provides developers with spectral algorithms for the Python programming language. New for v0.14.x: a scikit-learn bridge (alpha and partial). The functions and classes are organized by topics: * abundance maps: FCLS, NNLS, UCLS * classification: AbundanceClassification, NormXCorr, KMeans SAM, SID, SVC * detection: ACE, CEM, GLRT, MatchedFilter, OSP * distance: chebychev, NormXCorr, SAM, SID * endmembers extraction: ATGP, FIPPI, NFINDR... -
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CoVaMa
Co-Variation Mapper
CoVaMa (Co-Variation Mapper) (python) detects correlated patterns of mutations in a viral quasi-species. CoVaMa takes NGS alignment data (SAM) and populates large matrices of contingency tables that correspond to every possible pairwise interaction of nucleotides or amino acids in the viral genome. These tables are then analysed for evidence linkage disequilibrium. CoVaMa requires python version 2.7 and Numpy. -
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Aglyph
Aglyph is a Dependency Injection framework for Python.
Aglyph is a Dependency Injection framework for Python, supporting type 2 (setter) and type 3 (constructor) injection. Aglyph runs on CPython (http://www.python.org/) 2.7 and 3.4+, and on recent versions of the PyPy (http://pypy.org/>),Jython (http://www.jython.org/), IronPython (http://ironpython.net/), and Stackless Python (http://www.stackless.com/) variants. Aglyph can assemble "prototype" components (a new instance is created every time), "singleton" components (the same instance... -
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Tangent
Source-to-source debuggable derivatives in pure Python
... just like the rest of your program. Tangent is useful to researchers and students who not only want to write their models in Python, but also read and debug automatically-generated derivative code without sacrificing speed and flexibility. Tangent works on a large and growing subset of Python, provides extra autodiff features other Python ML libraries don't have, has reasonable performance, and is compatible with TensorFlow and NumPy. -
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Numerical Python
A package for scientific computing with Python
NEWS: NumPy 1.11.2 is the last release that will be made on sourceforge. Wheels for Windows, Mac, and Linux as well as archived source distributions can be found on PyPI. Numerical Python adds a fast and sophisticated array facility to the Python language. NumPy is the most recent and most actively supported package. Numarray and Numeric are no longer supported. -
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OverlapPER
Overlapping Paired-End Reads accurately
OverlapPER: Overlap Paired-End Reads OverlapPER can be used when one needs to merge overlapping paired-end reads Requirements Python 2.7+ Usage python overlapper.py <forward_reads.fastq> <reverse_reads.fastq> <min_overlap> <min_similarity> Contributors Renato Oliveira - renato.renison@gmail.com Gisele Nunes - gilopesnunes@gmail.com Ronnie Alves - ronnie.alves@itv.org Claudomiro Sales - claudomiro.sales@gmail.com Guilherme Oliveira... -
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Pygorithm
A Python module for learning all major algorithms
A Python module to learn all the major algorithms on the go! Purely for educational purposes. If you are using Python 2.7 use pip instead. Depending on your permissions, you might need to use pip install, user pygorithm to install. To see all the available functions in a module, you can just type help() with the module name as an argument. -
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Caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind. Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform... -
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River Simulations and Python
Management of river simulations with Python
... required: Python 2.7.x, HEC-RAS 5.0.3 Programming language: Python 2.7.x -
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pySBOL
SWIG-Python wrappers for libSBOL
pySBOL is a SWIG-Python wrapper around libSBOL, a module for reading, writing, and constructing genetic designs according to the standardized specifications of the Synthetic Biology Open Language (SBOL). This page provides binary installers for Windows operating system for Python 2.7 and 3.6. For installation instructions, visit: https://pysbol2.readthedocs.io/en/latest/installation.html For full documentation, visit: https://pysbol2.readthedocs.io/en/latest/index.html -
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REST framework JWT Auth
JSON Web Token Authentication support for Django REST Framework
JSON Web Token Authentication support for Django REST Framework. This package provides JSON Web Token Authentication support for Django REST framework. Unlike some more typical uses of JWTs, this module only generates authentication tokens that will verify the user who is requesting one of your DRF protected API resources. The actual request parameters themselves are not included in the JWT claims which means they are not signed and may be tampered with. You should only expose your API... -
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omegalib
Hybrid visualization framework for desktops, large immersive displays
A hybrid visualization framework for desktops, large immersive displays and the web. A framework for virtual reality and cluster-driven display systems. Requires Python (the pre-installed 2.7 version on OSX and most linux distros works fine, on Windows omegalib comes with python bundled so you don't need this). C++ Build tools for your platform (g++, clang/XCode, Visual Studio 2012/2013 depending on the OS). On windows, the free Visual Studio editions work fine. Modules are optional components... -
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100 numpy exercises
100 numpy exercises (with solutions)
This is a collection of numpy exercises from numpy mailing list, stack overflow, and numpy documentation. I've also created some problems myself to reach the 100 limit. The goal of this collection is to offer a quick reference for both old and new users but also to provide a set of exercises for those who teach. For extended exercises, make sure to read From Python to NumPy. Markdown and ipython notebook are created programmatically from the source data in source/exercises.ktx. To modify... -
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aeneas
Automagically synchronize audio and text (aka forced alignment)
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment). aeneas automatically generates a synchronization map between a list of text fragments and an audio file containing the narration of the text. In computer science this task is known as (automatically computing a) forced alignment. -
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Password Guessing Framework
A Framework for Comparing Password Guessing Strategies
The Password Guessing Framework is an open source tool to provide an automated and reliable way to compare password guessers. It can help to identify individual strengths and weaknesses of a guesser, its modes of operation or even the underlying guessing strategies. Therefor, it gathers information about how many passwords from an input file (password leak) have been cracked in relation to the amount of generated guesses. Subsequent to the guessing process an analysis of the cracked... -
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Icon Font to PNG
Python script (and library) for exporting icons from icon fonts
Python script (and library) for easy and simple export of icons from web icon fonts (e.g. Font Awesome, Octicons) as PNG images. The best part is the provided shell script, but you can also use it’s functionality directly in your (probably awesome) Python project. There’s also font-awesome-to-png script for backward compatibility with the first iteration of the concept. You can use IconFont (and IconFontDownloader for that matter) directly inside your Python project. There's no proper... -
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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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Python Machine Learning book
The book code repository and info resource
What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning. From theory to the actual code that you can directly put into action! This is not yet just another "this is how scikit-learn works" book. I aim to explain all the underlying concepts, tell you everything you need to know in terms of best practices and caveats, and we will put those concepts into action mainly using NumPy, scikit-learn, and Theano...
