<b>Python codes for machine learning algorithms for subclinical mastitis prediction</b> حسب Hamza Yalçin (21182759)

Python code for Model 2 used to predict FAZ area from FAZ length measurements. حسب Taku Toyama (102864)

"…<p>Python code for Model 2 used to predict FAZ area from FAZ length measurements.…"

Python code for Model 1 used to predict FAZ length from B-scan OCT images. حسب Taku Toyama (102864)

"…<p>Python code for Model 1 used to predict FAZ length from B-scan OCT images.…"

Perceptron python code حسب 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 حسب 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. …"

Core python codes for the machine-learning & deep learning model. حسب Archana Prabahar (21030164)

Python code for Model 3 used to convert FAZ area from pixels to mm². حسب Taku Toyama (102864)

Forecasting for second-hand house prices in China using the GA-PSO-BP neural-network model. (Excel Dataset and Python Code) حسب Ji Huabin (20531408)

Python code to find amino acid positions with matched anchor residue motifs and probable escape variants associated with HLA-Class-I binding. حسب Nobubelo K. Ngandu (12075108)

Python code to find amino acid positions with matched anchor residue motifs and probable escape variants associated with HLA-Class-II binding. حسب Nobubelo K. Ngandu (12075108)

Code program. حسب Honglei Pang (22693724)

Motif Code Unification and TDCM Supplemental حسب William Terry (22279591)

الموضوعات:

Motif Code Theory Figshare Documentation حسب William Terry (22279591)

الموضوعات:

Predicting coding regions on unassembled reads, how hard can it be? - Genome Informatics 2024 حسب Amanda Clare (98717)

"…The locations and directions of the predictions on the reads are then combined with the information about locations and directions of the reads on the genome using Python code to produce detailed results regarding the correct, incorrect and alternative starts and stops with respect to the genome-level annotation.…"

FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair حسب Sakina Fatima (15362704)

"…<p dir="ltr">This is the replication package associated with the paper: 'FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test for Code Repair'</p><p><br></p><p dir="ltr">### Requirements</p><p dir="ltr">This is a list of all required python packages:</p><p dir="ltr">-imbalanced_learn==0.8.1</p><p dir="ltr">-numpy==1.19.5</p><p dir="ltr">-pandas==1.3.3</p><p dir="ltr">-transformers==4.10.2</p><p dir="ltr">-torch==1.5.0</p><p dir="ltr">-scikit_learn==0.24.2</p><p dir="ltr">-openai==v0.28.1</p><p><br></p><p dir="ltr">#Automated tool for labelling dataset with flaky test fix categories</p><p><br></p><p dir="ltr">This is a step-by-step guideline for automatically labelling dataset with flaky test fix categories</p><p><br></p><p><br></p><p dir="ltr">### Input Files:</p><p dir="ltr">This is a an input file that is required to accomplish this step:</p><p dir="ltr">* Data/IdoFT_dataset_filtered.csv</p><p dir="ltr">https://figshare.com/s/47f0fb6207ac3f9e2351</p><p><br></p><p dir="ltr">### Output Files:</p><p dir="ltr">* Results/IdoFT_dataset_filtered.csv</p><p><br></p><p><br></p><p dir="ltr">### Replicating the experiment</p><p><br></p><p dir="ltr">This experiment can be executed using the following commands after navigating to the `Code\` folder:</p><p><br></p><p dir="ltr">```console</p><p dir="ltr">bash Automated_labelling_tool.sh</p><p>```</p><p><br></p><p dir="ltr">It will generate the dataset required to run our prediction models to predict the category of the fix, given a flaky test code</p><p><br></p><p>---</p><p><br></p><p dir="ltr"># Prediction models for fix categories using the test case code</p><p><br></p><p dir="ltr">This is the guideline for replicating the experiments we used to evaluate our prediction models i.e. …"

Analysis Codes for "Gene Signatures Predict Metastatic Organotropism in Breast Cancer: A Machine Learning Analysis of Single-Cell Data" حسب Ardo Sanjaya (18321300)

The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" حسب FirstName LastName (20554465)

"…</p><p dir="ltr"><i>cd 1point2dem/CIPrediction</i></p><p dir="ltr"><i>python -u point_prediction.py --model [GCN|ChebNet|GATNet]</i></p><h3>step 4: Parallel computation</h3><p dir="ltr">This step uses the trained models to optimize parallel computation. …"

The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" حسب FirstName LastName (20554465)

"…</p><p dir="ltr"><i>cd 1point2dem/CIPrediction</i></p><p dir="ltr"><i>python -u point_prediction.py --model [GCN|ChebNet|GATNet]</i></p><h3>step 4: Parallel computation</h3><p dir="ltr">This step uses the trained models to optimize parallel computation. …"

Code for the HIVE Appendicitis prediction modelRepository with LLM_data_extractor_optuna for automated feature extraction حسب Anoeska Schipper (18513465)

"…</p><p dir="ltr"><b>LLM Data Extractor optuna repo</b> is a Python framework for generating and evaluating clinical text predictions using large language models (LLMs) like <code>qwen2.5</code>. …"

Data and analysis codes for coarse-grained simulations of metal-organic cages حسب Emma Wolpert (21223817)