<b>Python codes for machine learning algorithms for subclinical mastitis prediction</b> by Hamza Yalçin (21182759)

A Preliminary Analysis On the Diffusion of Python-Specific Code Smells in AI-Enabled Systems by Giusy Annunziata (14860255)

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

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Python code used to perform the post-survey statistical analysis. by Devon J. Boland (6452957)

Python codes for ML-Pain-MEDD by Vivian Salama (13001475)

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

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

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.…”

Sample Python code for extracting age from patterns with a unit of time. by Ari Z. Klein (5462888)

Core python codes for the machine-learning & deep learning model. by Archana Prabahar (21030164)

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. …”

Python code for Model 1 used to predict FAZ length from B-scan OCT images. by Taku Toyama (102864)

“…<p>Python code for Model 1 used to predict FAZ length from B-scan OCT images.…”

The Python source code for a random forest model by Hao Yansong (17413653)

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

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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.…”

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.…”

UniSpec: Deep Learning for Predicting the Full Range of Peptide Fragment Ion Series to Enhance the Proteomics Data Analysis Workflow by Joel Lapin (3818551)

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Python Libraries used in tutorials. by Faye Orcales (12488403)

Confusion matrix for imbalanced sequences from independent test experiments depicted true family and predicted family. by Solomon Shiferaw Beyene (9143178)