Author: Deep Learner

Tool

Windows Task Manager with special features written in Python

Killer Windows Task Manager with special features, written in Python. Tired of trying to kill processes with the default Windows Task Manager? Selecting one by one? So this is for you. Killer is an app with concise design which displays the processes, let search between them, order by pid/name/cpu/memoryand kill multiple apps (or even all) at once. Besides that, you can also kill the children of the selected process(es),which means, all the other processes created by these (no survival chance). […]

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Algorithms

Linear programming solver for paper-reviewer matching and mind-matching

Paper-Reviewer Matcher A python package for paper-reviewer matching algorithm based on topic modeling and linear programming. The algorithm is implemented based on this article). This package solves problem of assigning paper to reviewers with constrains by solving linear programming problem. We minimize global distance between papers and reviewers in topic space (e.g. topic modeling can be Principal component, Latent Semantic Analysis (LSA), etc.). Here is a diagram of problem setup and how we solve the problem. Mind-Match Command Line Mind-Match […]

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Command-line Tools

Tiny command-line utility for mapping broken keys to other positions

brokenkey Tiny command-line utility for mapping broken keys to other positions. Installation Clone this repository using git: git clonehttps://github.com/lymnyx/brokenkey Install using pip or pip3: pip3 install brokenkey/ Usage Start brokenkey by opening a terminal window and typing: brokenkey Now just copy and paste the character of the broken key in, enter the character you want to replace and then it should be running. Info: It is currently possible to use the pynput Key variables as character to replace (example: key […]

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Deep Learning

A state-of-the-art library for parsing multinational street addresses using deep learning

Here is deepparse. Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning. Use deepparse to Use the pre-trained models to parse multinational addresses, retrain our pre-trained models on new data to parse multinational addresses, retrain our pre-trained models with your own prediction tags easily. Read the documentation at deepparse.org. Deepparse is compatible with the latest version of PyTorch and Python >= 3.7. Countries and Results We evaluate our models on two forms of address data clean […]

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Images

Multiparametric Image Analysis with python

MIA is shorthand for “Multiparametric Image Analysis”. It is intended to be a complete image processing environment mainly targeted at the analysis and visualization of large amounts of MRI data. MRI data analysis often requires a complex succession of data processing pipelines applied to a set of data acquired in an MRI exam or over several MRI exams. This analysis may need to be repeated a large number of times in studies involving a large number of acquisition sessions. Such […]

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Github

A package installer utility for GitHub public and private repositories

gpip is a package installer utility for GitHub public and private repositories, is a way to replace the copy-paste problem for individuals or organizations that have code inside repositories but cannot make it public, with gpip you can handle a repository with more than one package and have versioning and other capabilities. Features Install packages from private or public repositories Allow to use versioning, branch and path location from repositories Easy and powerfull syntax to declare packages. Command Line interface […]

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Webhooks

Create fulfillment webhooks for Dialogflow using Python

dialogflow-fulfillment dialogflow-fulfillment is a package for Python that helps developers to create webhook services for Dialogflow. The package provides an API for creating and manipulating response messages,output contexts and follow-up events in conversations. A simple example from dialogflow_fulfillment import QuickReplies, WebhookClient # Define a custom handler function def handler(agent: WebhookClient) -> None: “”” This handler sends a text message along with a quick replies message back to Dialogflow, which uses the messages to build the final response to the user. […]

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Framework

pyHype: Computational Fluid Dynamics in Python

pyHype pyHype is a Python framework for developing parallelized Computational Fluid Dynamics software to solve the hyperbolic 2D Euler equations on distributed, multi-block structured grids. It can be used as a solver to generate numerical predictions of 2D inviscid flow fields, or as a platform for developing new CFD techniques and methods. Contributions are welcome! pyHype is in early stages of development, I will be updating it regularly, along with its documentation. The core idea behind pyHype is flexibility and […]

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Python

The Walrus Operator: Python 3.8 Assignment Expressions

Each new version of Python adds new features to the language. For Python 3.8, the biggest change is the addition of assignment expressions. Specifically, the := operator gives you a new syntax for assigning variables in the middle of expressions. This operator is colloquially known as the walrus operator. This tutorial is an in-depth introduction to the walrus operator. You will learn some of the motivations for the syntax update and explore some examples where assignment expressions can be useful. […]

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