py2exe for python 3.6 free download

Showing 4 open source projects for "py2exe for python 3.6"

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Safetica Data Loss Prevention Software for Businesses
For companies that want to protect their sensitive data against leakages, insider threats and want to be compliant with regulations.

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1

BackgroundRemover

Background Remover lets you Remove Background from images and video

BackgroundRemover is a command line tool to remove background from image and video, made by nadermx to power BackgroundRemoverAI. If you wonder why it was made read this short blog post.

Downloads: 4 This Week

Last Update: 2024-05-01
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2

pybaselines

Library of algorithms for baseline correction of experimental data

pybaselines is a Python library that provides many different algorithms for performing baseline correction on data from experimental techniques such as Raman, FTIR, NMR, XRD, XRF, PIXE, etc. The aim of the project is to provide a semi-unified API to allow quick testing and comparing multiple baseline correction algorithms to find the best one for a set of data. pybaselines has 50+ baseline correction algorithms. These include popular algorithms, such as AsLS, airPLS, ModPoly, and SNIP, as well...

Downloads: 0 This Week

Last Update: 2024-02-18
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3

MoviePy

Video editing with Python

MoviePy is a Python module for video editing, which can be used for basic operations (like cuts, concatenations, title insertions), video compositing (a.k.a. non-linear editing), video processing, or to create advanced effects. It can read and write the most common video formats, including GIF. MoviePy is an open source software originally written by Zulko and released under the MIT licence. It works on Windows, Mac, and Linux, with Python 2 or Python 3. The code is hosted on Github, where you...

Downloads: 7 This Week

Last Update: 2021-07-27
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4

Image Super-Resolution (ISR)

Super-scale your images and run experiments with Residual Dense

... commands. When training your own model, start with only PSNR loss (50+ epochs, depending on the dataset) and only then introduce GANS and feature loss. This can be controlled by the loss weights argument. The weights used to produce these images are available directly when creating the model object. ISR is compatible with Python 3.6 and is distributed under the Apache 2.0 license.

Downloads: 6 This Week

Last Update: 2022-03-31
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