Computation time of the vector and tensor-based implementations. by Etienne Combrisson (9580631)

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. …”

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.…”

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. …”

Python implementation of a wildfire propagation example using m:n-CAk over Z and R. by Pau Fonseca i Casas (9507338)

The MQTT test broker with Python program. by Yazid Saif (17144817)

Multiprocessing and GPU application of SVMs significantly reduces run-times. by Bjørn André Bredesen-Aa (13767126)

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

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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.…”

Python3 implementation of the correlation-based regression algorithm. by Sebastian J. Kopetzky (6059033)

“…<p>Python3 implementation of the correlation-based regression algorithm.…”

Low- and high-level subspace noise for the reverse-correlation of visual and audio stimuli. by Juan José Burred (6555578)

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FPR and FNR analysis based on different time steps. by Mohanad Faeq Ali (21354273)

Python based DBSCAN algorithm implementation - Optimized for ICESat-2 Photon Data by Giribabu Dandabathula (7331522)

Python script implementation of butanol and butanol producer models. by Laura de Arroyo Garcia (9226096)

Table_2_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

“…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”

Table_1_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

“…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”

Table_2_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

“…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”

Table_1_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

“…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”

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.…”

Accelerating Pythonic Coupled-Cluster Implementations: A Comparison Between CPUs and GPUs by Maximilian H. Kriebel (17896949)

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