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

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

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

“…<p><b>(a)</b> UMAP, t-SNE, PCA, and Diffmap were first generated using the Python libraries Scikit-learn, UMAP, and PyDiffmap within Jupyter to generate static graphs as a starting point. …”

Example change statistic implementations. by Alex Stivala (8356257)

“…This work introduces ALAAMEE, open-source Python software for estimation, simulation, and goodness-of-fit testing for ALAAM models. …”

PYTHON by Kan Jia (21666161)

Python sript. by Kan Jia (6438599)

Representative MSD plots, Fig. 6c,d by Hirotake Udono (21008660)

Python script multiclass RoBERTa by Maija Ozola-Schade (20938460)

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

Python script for binary classification with RoBERTa by Maija Ozola-Schade (20938460)

Segmentation module training details. by Khelina Fedorchuk (19130089)

Cost functions implemented in Neuroptimus. by 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. …”

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

“…Supporting figures and tables are available in the repository</p><p dir="ltr">Data processing was implemented in Python 3.11 and attached are all the python scripts used for preprocessing , and statistical Analysis and also the questionnaire used for the study.…”

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... by Paul van Lent (16876977)

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

“…However, they are sometimes neglected due to the difficulty of implementing them. There is a lack of packages with the ability to perform inference for these models, particularly in python. …”

MYTHOS: A Python Interface for Surface Crystal Structure Prediction of Organic Semiconductors by Emilio Lorini (21689822)

“…Based on molecular mechanics and molecular dynamics simulations, and implemented in a user-friendly Python program, this method enables a sequential layer-by-layer analysis of crystalline formation, thus allowing to identify surface-induced polymorphs (SIPs) and to study the transition between surface and bulk structures. …”

Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

Subjects:

Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

Subjects:

Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

Subjects:

Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission by Monika Salesh (15306281)

Subjects: