Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management حسب 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.…"

BSTPP: a python package for Bayesian spatiotemporal point processes حسب Isaac Manring (20705955)

"…<p>Spatiotemporal point process models have a rich history of effectively modeling event data in space and time. However, they are sometimes neglected due to the difficulty of implementing them. …"

Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education حسب 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. …"

Prediction accuracy analysis over time steps. حسب Mohanad Faeq Ali (21354273)

"…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …"

Left schematic of the XOR gate implementation [11]. حسب Fabricio Cravo (21387854)

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

الموضوعات:

Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. حسب 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 file of the computational framework. حسب Benoit Haut (9753029)

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

An example Python input file for the CA4 binder design. حسب Jakub Lála (17136205)

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

الموضوعات:

Python scripts and notebooks حسب Ismail Belgacem (20845811)

Fitting a feast/famine cycle to a glycolysis model. حسب Paul van Lent (16876977)

الموضوعات:

Jaxkineticmodel allows for hybridizing kinetic models with neural networks. حسب Paul van Lent (16876977)

الموضوعات:

Analysis of convergence properties for a collection of SBML models. حسب Paul van Lent (16876977)

الموضوعات:

Overview of the SBML models used in this study. The collection of models was retrieved from Biomodels [43] and a previously reported collection of SBML benchmark models [11]. The n... حسب Paul van Lent (16876977)

الموضوعات:

Graphical abstract of HCAP. حسب Mohanad Faeq Ali (21354273)

"…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …"

Recall analysis. حسب Mohanad Faeq Ali (21354273)

"…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …"

Convergence rate analysis. حسب Mohanad Faeq Ali (21354273)

"…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …"

Computational efficiency. حسب Mohanad Faeq Ali (21354273)

"…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …"