python3 software to reproduce Figs 6, 7 and 8. by Stéphane Plaszczynski (14992817)

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

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

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

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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 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. …”

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)

“…Here, we introduce an application programming interface (API) that implements both BART and GP for estimating averaged treatment effect (ATE) and conditional averaged treatment (CATE) for the two-stage time-varying treatment strategies.…”

For accurate DTA predictions, ProSmith requires training on identical drugs but not on similar proteins. by Alexander Kroll (9304225)

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Five Operator Lattice Simulation by James McDaniel (22522571)

“…</p><p dir="ltr">Running the included file <code>five_operator_lattice_sim.py</code> (Python 3.14 + NumPy 2.1) reproduces the dynamic interactions and figures reported in Appendix A of the paper, generating time-series data that demonstrate operator balance, instability, and renewal cycles.…”

Python code. by Ryo Iwasaki (14210016)

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. …”

Schematic showing how the tracking model uses the inputs to make predictions. by Owen M. O’Connor (11965460)

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Implementations benchmark. by Serena Aneli (17002149)

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

Slides: A better strategy for interpolating gravity and magnetic data by Santiago Rubén Soler (6476147)

“…The block-averaged source layout (c) with variable relative depth (iii) produces accurate interpolation results when compared to the other two, but reducing the computation time and memory requirements. …”

Secondary structures for two ncRNAs, predicted with <i>mfold</i>. by Atara Neugroschl (16884406)

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Python source code of the framework. by Tomasz Gutowski (17200042)

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 code for Model 2 used to predict FAZ area from FAZ length measurements. by Taku Toyama (102864)

“…<p>Python code for Model 2 used to predict FAZ area from FAZ length measurements.…”

Python Script for the QSAR Model Building. by Md. Al-Amin (6270104)