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. …"

SCADET algorithm parameter configuration (Python implementation). حسب Xiaolong Zhang (470454)

Python code for estimating parameters of an ALAAM model. حسب Alex Stivala (8356257)

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

Reproducible implementation for article: Reproducibility study of the modular and reusable model of epithelial transport in the proximal convoluted tubule حسب Leyla Noroozbabaee (14301173)

Example change statistic implementations. حسب Alex Stivala (8356257)

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

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Python implementation for image-based ERT inversion using ViT, CNN, UNet, and LDM models, and related data conversion and visualization حسب Huichao Yin (14589020)

"…<p dir="ltr">Python implementation for image-based ERT inversion using ViT, CNN, UNet, and LDM models, and related data conversion and visualization.…"

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

Source Code for the Hierarchical Key Assignment Scheme (HKAS) حسب Baris Celiktas (22804778)

الموضوعات: "…Hierarchical Key Assignment, Cryptography, Key Management, HKAS, Security Model, Python Implementation…"

Cost functions implemented in Neuroptimus. حسب Máté Mohácsi (20469514)

"…To address these issues, we developed a generic platform (called Neuroptimus) that allows users to set up neural parameter optimization tasks via a graphical interface, and to solve these tasks using a wide selection of state-of-the-art parameter search methods implemented by five different Python packages. Neuroptimus also offers several features to support more advanced usage, including the ability to run most algorithms in parallel, which allows it to take advantage of high-performance computing architectures. …"

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

ZILLNB_Model حسب Qinhuan Luo (21288548)

"…<p dir="ltr">Acquire latent variables using deep-learning based model implemented in python</p>…"

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)

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

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

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

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ALAAM models for the Deezer networks, with liking “alternative” music as the outcome variable. حسب Alex Stivala (8356257)

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Models estimated using ALAAMEE for the Deezer networks, with liking jazz as the outcome variable. حسب Alex Stivala (8356257)

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PYTHON حسب Kan Jia (21666161)