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

Subjects:

Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide by Rishika Mohanta (7327013)

“…In this article and the accompanying tutorials, we present a simple exposition of numerical methods to solve ordinary differential equations using Python and TensorFlow. …”

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

Comparison of BlueRecording with existing tools by Joseph James Tharayil (21416715)

“…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”

Implementation of the 1D heat model with array programming. by Xuzhen He (14676114)

Subjects:

PCA-RF Python codes.txt by Junming Li (19324492)

“…<p dir="ltr">This text file is the PCA-RF model’s Python code. You can implement it in the Jupyter notebook.…”

Presentation_1_NWB Query Engines: Tools to Search Data Stored in Neurodata Without Borders Format.pdf by Petr Ježek (8647884)

Presentation_1_NWB Query Engines: Tools to Search Data Stored in Neurodata Without Borders Format.pdf by Petr Ježek (8647884)

Implementations benchmark. by Serena Aneli (17002149)

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

SecurityGuidelinesRetrievalForPythonCodeGen by Catherine Tony (18368913)

“…Using Task-Specific Guidelines for Secure Python Code Generation: Replication Package"</p><p dir="ltr">This replication package contains SecGuide along with the results of each step followed in its creation, the scripts that implement all the prompting approaches and the code generated by the LLMs using these approaches. …”

Python implementation of the geometric minimum action method (gMAM) by Pascal Wang (10130612)

“…<p>The Python 3 script <code>gmam_demo.py</code> found in this repository implements the geometric minimum action method (gMAM) as presented in Heymann, M. and Vanden-Eijnden, E. (2008), "The geometric minimum action method: A least action principleon the space of curves." …”

Presentation_1_Rule-based semi-automated tools for mapping seabed morphology from bathymetry data.pdf by Zhi Huang (472377)

Data_Sheet_1_A Library for fMRI Real-Time Processing Systems in Python (RTPSpy) With Comprehensive Online Noise Reduction, Fast and Accurate Anatomical Image Processing, and Online... by Masaya Misaki (521986)

“…However, the adaption of rtfMRI has been limited due to technical difficulties in implementing an efficient computational framework. Here, we introduce a python library for real-time fMRI (rtfMRI) data processing systems, Real-Time Processing System in python (RTPSpy), to provide building blocks for a custom rtfMRI application with extensive and advanced functionalities. …”

Python code for ray-tracing through Cartesian surfaces by Alberto Silva (8373543)

Survey Dataset and Python Code for Preprocessing, Statistical Tests by Mohammed Nurudeen (11071551)

Exploring the integration of metaverse technologies in engineering education through the SAMR model by Snezhana Dineva (22444471)

“…The metaverse is presented as a tool to improve the learning process and to promote innovative educational approaches. …”

Automated QM/MM Screening of Rhodopsin Variants with Enhanced Fluorescence by Laura Pedraza-González (3217155)

“…Such “<i>a</i>-ARM fluorescence screening protocol” is implemented through a general Python-based driver, PyARM, that is also proposed here. …”

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 programming code for the stochastic inference of disease interval distributions. by Günter Schneckenreither (10099380)