Python has a fantastic range of packages to produce mesmerizing visualizations. We recommend the best free and open source Python tools.
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Category: Scientific
16 Best Free and Open Source Linux Medical Imaging Software
Medical imaging is an essential, non-invasive, routine activity performed by radiographers and radiologic technologists.
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6 Best Free and Open Source Linux Electronic Medical Records Software
This article focuses on software that provides Electronic Medical Records (EMR) functionality.
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FreeMat – rapid engineering and scientific prototyping and data processing
FreeMat is a free environment for rapid engineering and scientific prototyping and data processing. It is similar to commercial systems such as MATLAB.
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K3DSurf – visualize and manipulate mathematical models
K3DSurf is a program to visualize and manipulate multidimensional surfaces by using mathematical equations. It is also a modeler for POV-Ray.
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Mathomatic – computer algebra software
Mathomatic is a fast and easy-to-use console mode Computer Algebra System (CAS) that can manipulate symbolic equations and expressions.
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JOSM – extensible editor for OpenStreetMap
JOSM is an extensible editor for OpenStreetMap (OSM).
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iHRISSuite – Open Source Human Resources Information Solutions
The iHRIS Software Suite is an open source solution for tracking and managing health care workers across a country.
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NeuPy – Python library for Artificial Neural Networks – Deep Learning
NeuPy supports many different types of Neural Networks from a simple perceptron to deep learning models.
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Microsoft Cognitive Toolkit (CNTK) – toolkit for distributed deep learning
The Microsoft Cognitive Toolkit is a unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph.
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Chainer – framework for neural networks
Chainer is a Python-based deep learning framework aiming at flexibility.
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Theano – numerical computation library for Python
Theano is a numerical Python library that allows you to define, optimize, and evaluate mathematical expressions.
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MXNet – scalable deep learning framework
Apache MXNet is a modern deep learning framework used to train, and deploy deep neural networks.
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Caffe – deep learning framework by BAIR
Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at UC Berkeley.
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Keras – high-level neural networks API, written in Python
Keras has stronger adoption in both the industry and the research community than any other deep learning framework except TensorFlow.
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