https://github.com/cshum/imagorvideo

imagor video thumbnail server in Go and ffmpeg C bindings

docker ffmpeg flv mkv mp4 ogg rmse thumbnail webm

Last synced: 03 Jan 2026

https://github.com/thieu1995/permetrics

Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

classification classification-report clustering-evaluation coefficient-of-determination deviation-of-runoff-volume evaluation-metrics kling-gupta-efficiency mae nash-sutcliffe-efficiency performance-metrics regression regression-methods relative-error rmse symmetric-mean-absolute-percentage willmott-index

Last synced: 07 Apr 2025

https://github.com/ruofeidu/imagequalitycompare

Compare the quality between two images using RMSE, SSIM, and PSNR. (part of I3D 2018 Montage4D.com)

image measurement mse opencv psnr quality rmse ssim statistics

Last synced: 11 Apr 2025

https://github.com/quzanh1130/multi_metrics_to_compare_images

Comparing two images by using 9 metrics: VIFP, PSNR, SSIM, FSIM, RMSE, ISSM, SRE, SAM, UIQ.

compare-image fsim issm psnr rmse sam sre ssim uiq vifp

Last synced: 28 Oct 2025

https://github.com/ajayarunachalam/regressormetricgraphplot

Python package to simplify plotting of common evaluation metrics for regression models. Metrics included are pearson correlation coefficient (r), coefficient of determination (r-squared), mean squared error (mse), root mean squared error(rmse), root mean squared relative error (rmsre), mean absolute error (mae), mean absolute percentage error (mape), etc.

coefficient-of-determination correlation-coefficient evaluation-metrics graph mae metrics metrics-visualization mse plot python regression regression-testing rmse rmse-score rmsre

Last synced: 10 Apr 2025

https://github.com/lewis-morris/skperopt

A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.

accuracy auc f1-score hyperopt hyperopt-wrapper pandas-dataframe randomsearch rmse sklearn-estimator

Last synced: 28 Apr 2025

https://github.com/gacarrillor/vec2dtransf

An R package to apply affine and similarity transformations on vector layers (sp objects)

2d affine affine-transformation coordinates least-squares r rmse similarity-transformations sp-objects transformations

Last synced: 22 Jun 2025

https://github.com/andr3w03/book-recommender-system

Applied Machine Learning - Book Recommender System

cosine-similarity dicoding keras machine-learning python recommender-system rmse sklearn tensorflow tf-idf

Last synced: 06 Apr 2026

https://github.com/pprattis/k-fold-cross-validation-and-Root-Mean-Square-error

A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings and RMSE to calculate the ideal k for our dataset.

computer-science console-application cosine-similarity euclidean-distance hamming-distance heuristics java k-fold-cross-validation k-nearest-neighbours knn program recommender-system rmse root-mean-square-error similarity-score student

Last synced: 28 Sep 2025

https://github.com/pprattis/k-fold-cross-validation-and-root-mean-square-error

A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings and RMSE to calculate the ideal k for our dataset.

computer-science console-application cosine-similarity euclidean-distance hamming-distance heuristics java k-fold-cross-validation k-nearest-neighbours knn program recommender-system rmse root-mean-square-error similarity-score student

Last synced: 29 Apr 2026

https://github.com/pathak-ashutosh/spark-movie-recommendation

A movie recommendation system on MovieLens 25M dataset using Python and Apache Spark

alternating-least-squares apache-spark hybrid-system item-item-filtering mllib pyspark python random-forest recommendation-system recommender-system rmse spark-mllib-library spark-sql

Last synced: 11 Mar 2026

https://github.com/aarryasutar/logistic_regression_on_age_prediction

This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.

accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization

Last synced: 20 Jan 2026

https://github.com/aniekanbane/stereo-geometry

Workpiece 3D pose estimation algorithm for a robotic arm

computer-vision pose-estimation rmse robotics

Last synced: 18 Apr 2026

https://github.com/aarryasutar/linear_multivariate_regression_on_football_statistics

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

datasets feature-selection football-stats linear-reg machine-learning mae mse multivariate-regression numpy pandas rmse scatter-plot train-test-split

Last synced: 14 Apr 2026

https://github.com/deliprofesor/ridge-regression-for-sales-prediction-model-evaluation-and-hyperparameter-tuning

This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.

cross-validation data-science data-visualization grid-search machine-learning model-optimization mse overfitting-prevention polynomial-regression python r2-score regression-analysis regularization ridge-regression rmse scikit-learn

Last synced: 03 May 2026

https://github.com/arhangoyal/cctvfeedcontroller

Aim: To use the raspberry pi camera as a CCTV camera which records only when motion is detected.

computer-vision raspberry-pi raspberry-pi-camera rmse

Last synced: 28 Feb 2026

https://github.com/artemxdata/car-price-prediction

Car Price Prediction – Machine learning project for estimating car prices based on technical specifications and market data. The goal is to achieve an RMSE below 2500 by comparing multiple models (Linear Regression, Random Forest, LightGBM) and analyzing training vs. prediction time.

car-price-prediction data-science lightgbm machine-learning notebook python regression rmse scikit-learn supervised-learning used-cars vehicle-pricing

Last synced: 01 May 2026

https://github.com/iotchulindrarai/milk_sales_production

Collect and preprocess historical sales data of Sujal Dairy Pvt. Ltd. to understand trends. Implement regression models like linear regression, decision trees, or advanced models like LSTM, based on data complexity. Validate model accuracy using metrics such as RMSE, MAE, and R-squared.

lstm machine-learning mae milk-production r-squared rmse salesprediction

Last synced: 14 Jun 2025

https://github.com/abdullah2020/hamoye_stageb

This is my Hamoye Stage B project. The project focuses on Predicting Energy Efficiency of Buildings. It implemented different Machine Learning algorithm technique that are not limited to Linear Regression, LASSO, Ridge etc.

eda lasso-regression linear-regression numpy pandas predictive-modeling regression-models ridge-regression rmse rsquare-values

Last synced: 09 May 2026

https://github.com/danielaraldiedu/one-off-operations-and-spatial-filtering

An image processor aimed at medical diagnostics.

gaussian gmsd high-boost-filtering jupyter-notebook laplacian median mse psnr python rmse sobel ssim

Last synced: 29 Apr 2026

https://github.com/bjam24/comparative_analysis_of_lstm_variants

analysis bidirectional-gru bidirectional-lstm classic-lstm comparison gru-lstm lstm mae mape python rmse stacked-lstm tensorflow

Last synced: 08 May 2026

https://github.com/elmezianech/food-delivery-time-prediction

This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.

artificial-intelligence cross-validation data-cleaning data-extraction decision-tree-regression feature-engineering labelencoder linear-regression machine-learning mae ml model-building mse r2-score random-forest-regression regression rmse standardisation xgboost-regression

Last synced: 06 Jun 2026

https://github.com/kisaa-fatima/multi-variant-linear-regression-on-20-days-routine-dataset

This project implements a Multi-Variant Linear Regression model on a self-created dataset of a 20-day routine. The dataset includes multiple independent variables and one dependent variable.

correlation-coefficient evaluation-metrics mse predictive-analysis python rmse

Last synced: 27 Apr 2026

https://github.com/wb-az/mlib-pyspark-soundlevel-prediction

Creates a ML Pipeline leveraging PySpark SQL and PySpark MLib to predict sound level

correlation-analysis data-engineering-pipeline data-science grid-search mean-absolute-error mean-square-error metrics multivariate-regression nasa pyspark pyspark-mllib pyspark-sql python r-squared regressor rmse sound-processing

Last synced: 05 Mar 2025

https://github.com/niteshchawla/movie-recommender-system

To create a Recommender System to show personalized movie recommendations based on ratings given by a user and other users similar to them in order to improve user experience.

collaborative-filtering correlation-matrix cosine-similarity exploratory-data-analysis feature-engineering knearest-neighbor-algorithm mape matrix-factorization pca-analysis pearson-correlation recommender-system rmse sparsity tsne-visualization visualization

Last synced: 08 Apr 2025

https://github.com/mohamedezzeldeenhassanmohamed/ml-gui-task

Before GUI, There are Two ways to preprocessing any data set with two jupyter notebooks, GUI to choose Cleaned CSV data_set,Show most of properties of this data_set,Choose test size & alpha size & error metrics to train Ml algorithm on this data set,show ( test & train ) Percentage as output

algorithms alpha beta data-cleaning data-metrics data-preprocessing-techniques dataset-information gui house-price-prediction imputation-methods linear-regression mae ml mse preprocessing pyqt5-desktop-application python rmse test train

Last synced: 30 Apr 2026

https://github.com/richasavant/stock-market-analysis-a-two-stage-comparative-stacking-approach-using-pyspark-jan_2024

This project aims to enhance the accuracy and efficiency of stock market predictions by employing a sophisticated machine learning methodology. This project leverages the power of PySpark, a robust framework for distributed data processing, to handle large datasets and perform complex computations.

decision-trees gradient-boosting linear-regression machine-learning mae pyspark r-squared random-forest rmse stacking-ensemble stock-market stock-market-analysis stock-market-prediction

Last synced: 07 Mar 2026