Toxicity profile analysis of top six hits along KDE plot which represent joint distribution of carcinogenicity and oral rat acute toxicity by employing Python Seaborn module. by Iqra Ali (15372725)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

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)

“…Introduction<p>Methods and tools evaluating treatment effect have been primarily developed for binary type of treatment. …”

Tools used in implementing the RNN models. by Fahmi H. Quradaa (17896527)

“…The development of standardized benchmarks for languages like Python, Scratch, and C#, along with cross-language comparisons, is essential. …”

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

Overview of optimization problem formalism and implementation in NRV. by Thomas Couppey (19118460)

DataSheet1_Optimisation of Water-Energy Networks in Process Industry: Implementation of Non-Linear and Multi-Objective Models.PDF by Miguel Castro Oliveira (11975819)

“…In this work, two approaches for the solving of an optimisation problem related to the improvement of water and energy use in a process industry plant (three water-using processes) are implemented. These approaches consist on the development of a mixed-integer non-linear programming (MINLP) model and a multi-objective programming (MOP) model using the Python language. …”

Morphoscanner plotting functions. by Federico Fontana (533670)

Parallel plot showing hyperparameter exploration. by Ramona Leenings (11167294)

UMAP plots showing all clusters as obtained by FlowSOM (left) and Phenograph (right) and coloured according to patient origin. by Ross J. Burton (10941910)

Example of a plot for a class-level metric in a buffer analysis that computes the metrics for the buffer rings. by Martí Bosch (8087852)

Total concentration of Burmese python eDNA at colony (dark grey bars) and control (light grey bars) pairs with 95% confidence intervals. by Sophia C. M. Orzechowski (6577349)

ElectroPredictor: An Application to Predict Mayr’s Electrophilicity <i>E</i> through Implementation of an Ensemble Model Based on Machine Learning Algorithms by Sebastián A. Cuesta (12048044)

Example plots of PSDs with per-frame tracking errors. by Ian L. Morgan (11890568)

CPPE: An Open-Source C++ and Python Library for Polarizable Embedding by Maximilian Scheurer (4580110)

“…We present a modular open-source library for polarizable embedding (PE) named CPPE. The library is implemented in C++, and it additionally provides a Python interface for rapid prototyping and experimentation in a high-level scripting language. …”

GraSPy: an Open Source Python Package for Statistical Connectomics by Benjamin Pedigo (6580352)

“…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …”

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. …”

Example plots of AV values for data with per-frame tracking errors. by Ian L. Morgan (11890568)

WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data by Darian T. Yang (12321348)

“…Here, we present the WEDAP Python package for simplifying the analysis of data generated from either conventional MD simulations or the weighted ensemble (WE) path sampling method, as implemented in the widely used WESTPA software package. …”

GLAMbox: A Python toolbox for investigating the association between gaze allocation and decision behaviour by Felix Molter (8130300)

“…Here, we present GLAMbox, a Python-based toolbox that is built upon PyMC3 and allows the easy application of the gaze-weighted linear accumulator model (GLAM) to experimental choice data. …”