Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

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Modeling with uniform <i>σ</i> values. by Giacomo Janson (8138517)

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

“…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”

Algorithm flow of the CNN + LSTM model. by Zhongzhong Guo (12133402)

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Convergence curves for multimodal function test. by Qinghe Guo (21519322)

Convergence curves for unimodal function test. by Qinghe Guo (21519322)

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

AP values of three loss functions on the three datasets, including four indicators: AP@50, AP@75, AP@M, and AP@L. by Xunqian Xu (21261899)

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FPS values of different methods on the three datasets, where red represents the COCO dataset, yellow represents the MPII dataset, and green represents the HP dataset. by Xunqian Xu (21261899)

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The decomposition diagram of the large kernel convolution, where the blue grid represents the convolution kernel and the green grid represents the center point. by Xunqian Xu (21261899)

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Illustrates the structure of the C2F-SimDLKA module. After processing with CBS, the features are first split into two parts: one part is retained without any processing, and the ot... by Xunqian Xu (21261899)

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The network architecture of YOLOv8 comprises three parts. by Xunqian Xu (21261899)

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Implementation code and computational results.  by Xunqian Xu (21261899)

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FPS values of different methods on the three datasets. by Xunqian Xu (21261899)

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AP values of different methods on the three datasets, including four indicators: AP@50, AP@75, AP@M, and AP@L. by Xunqian Xu (21261899)

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Source data for figures and tables. by Xunqian Xu (21261899)

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Ap values of different methods on the three datasets. AP values include four indicators: AP@50, AP@75, AP@M, and AP@L. by Xunqian Xu (21261899)

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Details the DLKA structure, which includes the DLKA-Attention module and the FFN module. The DLKA-Attention module mainly consists of the DLKA module, which comprises deformable de... by Xunqian Xu (21261899)

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

“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”