A suite of classification clustering algorithm implementations for Java. A number of partitional, hierarchical and density-based algorithms including DBSCAN, k-Means, k-Medoids, MeanShift, Affinity Propagation, HDBSCAN and more.
Machine learning kernels in Julia.
Julia package for kernel functions for machine learning
Operating System OS/161 Kernel Development
Simple calculation to render cheap water effects.
💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.
**Supervised-Learning** (with some Kaggle winning solutions and their reason of Model Selection for the given dataset).
Foundational library for Kernel methods in pattern analysis and machine learning
ksocket: easy TCP/UDP networking in kernel space
🔍 Code to read / write the Process Memory from the Kernel 🔧
The implementation of systems calls, lock, Virtual Memory and other file system implementation on OS161
LIME for TimeSeries enhances AI transparency by providing LIME-based interpretability tools for time series models. It offers insights into model predictions, fostering trust and understanding in complex AI systems.
Operatins System & System Programming Lab Work
MITx - MicroMasters Program on Statistics and Data Science - Data Analysis: Statistical Modeling and Computation in Applications - Fifth Project
Multiple Kernel Least Squares Suport Vector Machine provide classification model.
Support Vector Machines (SVMs) from scratch, without dedicated packages, for the classification of linear and non-linear data.
Add a description, image, and links to the kernel-functions topic page so that developers can more easily learn about it.
To associate your repository with the kernel-functions topic, visit your repo's landing page and select "manage topics."