Table_2_BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts.docx by Kirill Batmanov (3722374)

“…BayesPI-BAR2 is a useful tool for predicting functional non-coding mutations in whole genome sequencing data: it allows identification of novel transcription factors (TFs) whose binding is altered by non-coding mutations in cancer. …”

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

Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education by Suha Assayed (22454038)

“…<p dir="ltr">This repository contains the Python source code and model implementation for HSGAdviser, an AI speech assistant designed to provide personalized college and career guidance for high school students through conversational AI. …”

Effect of <i>|Δd</i>_<i>n</i><i>|</i> perturbation on 3D modeling. by Giacomo Janson (8138517)

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Correlation between <i>σ</i>_<i>MOD</i> and <i>|Δd</i>_<i>n</i><i>|</i> values in the AS models. by Giacomo Janson (8138517)

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Distribution of <i>|Δd</i>_<i>n</i><i>|</i> and <i>σ</i>_<i>MOD</i> values. by Giacomo Janson (8138517)

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DOPE energy landscapes. by Giacomo Janson (8138517)

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Schematic showing how the tracking model uses the inputs to make predictions. by Owen M. O’Connor (11965460)

Code program. by Honglei Pang (22693724)

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Model outputs and results by Michael Vlah (11441761)

One-hot coding map. by Zhengqiao Zhao (6400832)

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Perceptron python code by MOURAD OULID-AISSA (22115083)

“…<p dir="ltr">Perceptron Python code used in project on AI in criminal justice based on a predictive approach to threat detection. …”

SVM python code by MOURAD OULID-AISSA (22115083)

“…<p dir="ltr">SVM python code used in project on AI in criminal justice based on a predictive approach to threat detection. …”

Python Jupyter notebook implementing similar neural networks. by Pierre-Philippe Dechant (10751360)

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)

Deep learning models to identify penguins' prey capture rates by Stefan Schoombie (6844115)

“…This as done in the Python programming language.</p><p dir="ltr">Two models were trained (CNN and V-Net architectures) and predictions were made on individual birds that have not been exposed to the model training.…”

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)

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”.…”

Fitting a feast/famine cycle to a glycolysis model. by Paul van Lent (16876977)

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