imagor video thumbnail server in Go and ffmpeg C bindings

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

🔮Trying to find the best movie to watch on Netflix can be a daunting. Case Study for Recommendation System of movies in Netflix.🔧

missCompare R package - intuitive missing data imputation framework

Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)

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

Prediction of Soybean stock prices using LSTM with data from CBOT Soybean Futures + (2015 USA Weather Avg, Max, Min by USDA-NASS-soybeans-production_bushels-2015)

🎥  Simple Python implementation of Funk SVD for MovieLens movie collaborative recommendations.

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

Posts/Feeds recommendation engine based on content based and collaborative filtering methods

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 (m…

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

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

Building a model which can predict the number of online 'shares' an article will get based on a set of variables attached to it. (Python)

Sensor Fusion: Unscented Kalman Filter, LiDAR&RADAR

In this repository, I have worked out in one of the Kaggle Competition Data, "Predict Future Sales". I have used XGBoostRegressor. I have also used Fastai API for Feature Preprocessing to enhance the Model accuracy. You can get insights about Fastai Implementation as well.

Leave-one-out Cross-validation for regression models

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.

🏎️ Extended Kalman Filter (EKF) Localization Project using C++ and Eigen library for the Self-Driving Car Nanodegree at Udacity

A recommendation system for Restaurants!