Search alternatives:
python effective » proven effective (Expand Search), 1_the effective (Expand Search), 2_the effective (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
python effective » proven effective (Expand Search), 1_the effective (Expand Search), 2_the effective (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
-
61
Cost functions implemented in Neuroptimus.
Published 2024“…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. …”
-
62
-
63
-
64
-
65
-
66
Data&Codes.zip
Published 2025“…</p><p dir="ltr">To facilitate the widespread use of the proposed framework, we have implemented it as the <b><i>ESLocalIndi</i></b> open-source package in Python, making it easily accessible to geographers. …”
-
67
BSTPP: a python package for Bayesian spatiotemporal point processes
Published 2025“…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. …”
-
68
-
69
Type II error rate from estimation of simulated outcomes using the EE algorithm.
Published 2024Subjects: -
70
-
71
-
72
Type I error rate from estimation of simulated outcomes using the EE algorithm.
Published 2024Subjects: -
73
-
74
-
75
-
76
-
77
-
78
-
79
Schematic of the approach: This schematic illustrates the entire workflow of the project.
Published 2025Subjects: -
80