Motif Code Theory Figshare Documentation by William Terry (22279591)

Subjects:

"Python code for CPB calculations using Monte Carlo simulations". by Daniel J. Arenas (2395705)

Overview of all the functions and file formats used in teemi for the present study. by Søren D. Petersen (18127584)

Assignment of Regioisomers Using Infrared Spectroscopy: A Python Coding Exercise in Data Processing and Machine Learning by Samuel T. Cahill (18855105)

“…Herein we present an exercise aimed at introducing machine learning alongside improving students’ general Python coding abilities. The exercise aims to identify the regioisomerism of disubstituted benzene systems solely from infrared spectra, a simple and ubiquitous undergraduate technique. …”

Python code for: Using convolutional neural network to predict remission of diabetes after gastric bypass surgery – a machine learning study from the Scandinavian Obesity Surgery Register by Yang Cao (9509135)

“…<p>The file includes the Python code and annotations of training, validation, and test for the CNN predictive model used in the paper “Using convolutional neural network to predict remission of diabetes after gastric bypass surgery – a machine learning study from the Scandinavian Obesity Surgery Register”.…”

Ideal-observer predictions for F0 discrimination. by Daniel R. Guest (12192028)

Scheme of hippocampal detection and prediction of MTLE with the hippocampus as the epileptogenic area. by Kyoya Sakashita (14670611)

<i>cgbind</i>: A Python Module and Web App for Automated Metallocage Construction and Host–Guest Characterization by Tom A. Young (6082409)

<i>cgbind</i>: A Python Module and Web App for Automated Metallocage Construction and Host–Guest Characterization by Tom A. Young (6082409)

Python notebook covering the <i>Borana model</i> analysis. by Colin Thomas (7216820)

Predictive performance for earthworm species prediction across different classification models and handcrafted features on external validation dataset (<i>E. fetida</i> vs others). by Saiqa Andleeb (11442771)

The optimal ProSmith models combine predictions based on the multimodal Transformer Network with predictions based on separate numerical representations of proteins and small molec... by Alexander Kroll (9304225)

Subjects:

Refinement analysis of the content presentation module. by Jing He (58446)

Predictive performance for earthworm species prediction across different classification models and deep feature maps on external validation dataset (<i>E. fetida</i> vs others). by Saiqa Andleeb (11442771)

Predictive performance for earthworm species prediction across different classification models and handcrafted features using 10-fold CV (<i>E. fetida</i> vs others). by Saiqa Andleeb (11442771)

python3 software to reproduce Figs 6, 7 and 8. by Stéphane Plaszczynski (14992817)

Python script of the PREDICATE tool written in a Jupyter Notebook format. by Nantia Leonidou (14833068)

Predictive performance for earthworm species prediction across different classification models and deep feature maps using 10-fold CV (<i>E. fetida</i> vs others). by Saiqa Andleeb (11442771)

Presentation1_NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing.pdf by Jinqi Huang (12433320)

“…This diversity of technologies requires the establishment of versatile tools that can enable designers to translate memristors’ attributes in novel neuro-inspired topologies. In this study, we present NeuroPack, a modular, algorithm-level Python-based simulation platform that can support studies of memristor neuro-inspired architectures for performing online learning or offline classification. …”

Presentation_2_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)