Learning to Split for Automatic Bias Detection

machine-learning label-noise bias-detection data-split

• Updated May 1, 2023
• Python

Reproducible archetype-based train/test splitting and benchmarking for ML data sets

benchmarking benchmarks benchmark-framework archetypes test-train-dataset edge-cases data-split data-splitting archetypal-analysis test-train-split edge-case-testing archetypal-ai

• Updated Feb 16, 2026
• Python

`Spltr` is a simple PyTorch-based data loader and splitter. It may be used to load arrays and matrices or Pandas DataFrames and CSV files containing numerical data with subsequent split it into train, test (validation) subsets in the form of PyTorch DataLoader objects.

deep-learning pytorch dataset neural-networks easy-to-use splitter data-preprocessing data-preparation data-loader data-loading train-test-split data-preprocess pytorch-dataloader-objects train-test-validation data-split pytorch-dataset-split easy-split easy-data-split data-split-pytorch train-split-pytorch

• Updated Sep 21, 2020
• Python

Apply DUPLEX data split to the given dataset and return training and test datasets. REF: Snee, R. D. (1977). Validation of regression models: methods and examples. Technometrics, 19(4), 415-428.

data-split data-split-pytorch data-splitting

• Updated Feb 10, 2020
• Python

Parkinson's Disease Prediction using Machine Learning with a web-based interface built with React, Flask, and Node.js for real-time predictions and user history tracking.

nodejs machine-learning mongodb reactjs expressjs feature-selection jwt-authentication flask-api ensemble-machine-learning tailwindcss data-split auc-roc react-hot-toast lucide-react data-balancing

• Updated Apr 17, 2025
• Jupyter Notebook

Machine Learning Class - ECE - TTU - Spring 2020

linear-regression image-processing logistic-regression feedforward-neural-network gradient-descent polynomial-regression data-normalization convolutional-neural-network softmax-regression hyperparameter-tuning bias-variance cnn-classification regularization-methods rbf-regression data-split

• Updated Mar 1, 2025
• MATLAB

Python app for splitting a dataset into training, validation, and test sets with customizable parameters.

application app dataset data-preprocessing data-split machine-learning-tool dataset-splitter dataset-splitting

• Updated Sep 24, 2026
• Python

A simple PyTorch-based neural network that classifies student exam outcomes (Pass/Fail) using study hours and previous exam scores. Implements dataset splitting (train/val/test), mini-batch training, and evaluation with configurable hyperparameters.

python machine-learning deep-learning neural-network pandas pytorch dataset neural-networks mini-batch sigmoid adam-optimizer sigmoid-function relu relu-layer train-model data-split data-splitting binary-cross-entropy-loss exam-pass-fail-classifier exam-pass-fail-predictor

• Updated Oct 5, 2025
• Python

This project predicts loan approval outcomes (Approved/Rejected) using a PyTorch neural network. It includes data preprocessing, train/validation/test split, model training with BCEWithLogitsLoss, and inference with probability-based classification.

python deep-neural-networks deep-learning neural-network pytorch classification gradio adam-optimizer sigmoid-function relu-layer matplotlib-python data-split data-splitting train-validation-test gradio-interface loan-prediction-model binary-cross-entropy binary-cross-entropy-loss gradio-ui gradio-app

• Updated Oct 13, 2025
• Python

This program obtains orginal set file and randomly seperate it into train_val or test set file line by line.

machine-learning data-split

• Updated Mar 21, 2017
• C++