Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education by Suha Assayed (22454038)

“…<p dir="ltr">This repository contains the Python source code and model implementation for HSGAdviser, an AI speech assistant designed to provide personalized college and career guidance for high school students through conversational AI. …”

Tools used in implementing the RNN models. by Fahmi H. Quradaa (17896527)

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Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. by Samuel Cure (22250922)

“…<p>We simulate SIR epidemic processes on Watts-Strogatz networks with parameters <i>k</i>₀ = 5, <i>p</i> = 0.1 <b>(a)</b> and Barabási-Albert networks with parameter <i>m</i> = 5 <b>(b)</b> using the Python wrapper of our C++ implementation and compare its performance with the Python library from Ref. …”

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

“…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”

Implementations benchmark. by Serena Aneli (17002149)

Overview of the implemented simulation tool and training framework in Diffrax. by Paul van Lent (16876977)

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Analysis of the selected studies in terms of tools used for implementing RNN models. by Fahmi H. Quradaa (17896527)

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Python script of the PREDICATE tool written in a Jupyter Notebook format. by Nantia Leonidou (14833068)

Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management by Pavel Izosimov (20096259)

“…</li><li><b>Commercial Distribution</b>: Safely share Python code with clients or customers, implementing advanced <b>Python code protection tools</b> for sales or rentals.…”

Running times of equivalent programs based on <i>TextFormats</i> or other libraries, implemented in Nim, Python, and C. by Giorgio Gonnella (6670052)

“…<p>Running times of equivalent programs based on <i>TextFormats</i> or other libraries, implemented in Nim, Python, and C.</p>…”

Schematic example of multiscale modelling implementation. by Robyn M. Stuart (3754000)

OPTIMIZED DETERMINATION OF 3D COORDINATES IN THE SURVEY OF INACCESSIBLE POINTS OF BUILDINGS - EXAMPLE OF APPLICATION IMPLEMENTED IN FREE SOFTWARE by Leandro Luiz Silva de França (6625883)

Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf by Chen Chen (6544)

“…Introduction<p>Methods and tools evaluating treatment effect have been primarily developed for binary type of treatment. …”

PyRates—A Python framework for rate-based neural simulations by Richard Gast (8129451)

“…In this work, we present PyRates, a Python framework that provides the means to build a large variety of rate-based neural models. …”

Re-Implementation of Refactory Tool by Aqsa Shabbir (18604261)

“…<p dir="ltr"><b># cs539-final-project</b><br><br><b>Re-implementation of Refactory: ReFactoring_Based_Program_Repair_Applied_to_Programming_Assignments**</b><br><br>This repository contains the replication package of re-implementation of Refactory: ReFactoring_Based_Program_Repair_Applied_to_Programming_Assignments tool on Existing and New Benchmark that are Refactory and IBM CodeNet dataset respectively.…”

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

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Poster: PyGMT: Accessing the Generic Mapping Tools from Python by Leonardo Uieda (97471)

“…We are using this bridge to develop PyGMT (<a href="http://www.pygmt.org/" rel="nofollow">www.pygmt.org</a>; formerly GMT/Python), an open-source library that allows users of the Python programming language to leverage the almost thirty years of continuous GMT development. …”

Hardware parameters of optimal implementations. by Xuzhen He (14676114)

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Locality of reference in optimal implementations. by Xuzhen He (14676114)

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Recombination and mutation estimation times using the fastest (dynamic-numba) likelihood implementation depending on the number of markers. by Serena Aneli (17002149)