There are 1 repository under kernel-functions topic.
Julia package for kernel functions for machine learning
simple but efficient kernel regression and anomaly detection algorithms
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.
🔍 Code to read / write the Process Memory from the Kernel 🔧
Machine learning kernels in Julia.
Operating System OS/161 Kernel Development
Foundational library for Kernel methods in pattern analysis and machine learning
**Supervised-Learning** (with some Kaggle winning solutions and their reason of Model Selection for the given dataset).
💡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.
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.
Multiple Kernel Least Squares Suport Vector Machine provide classification model.
A Julia package work with spectral densities of stationary kernels.
The implementation of systems calls, lock, Virtual Memory and other file system implementation on OS161
📈 Desktop app for testing and ploting fuzzy operators
Explore utilities of kernel functions in GPFA
A Julia package for kernel functions on graphs
Reinforcement learning using kernel-based function approximation
SVM-Perceptron On Flight DataSet
🔍 Code to read / write the Process Memory from the Kernel 🔧
OpenCL Image Processing: Explore efficient image processing algorithms using OpenCL, a framework for parallel computing. Convert colored images to grayscale for tasks like skin cancer detection, leveraging the ISIC 2020 Challenge Dataset. Includes optimized parallelized algorithms and documentation for seamless implementation.
The code for Image Structure Subspace Learning using the SSIM Kernel
Support Vector Machine (SVM) a machine learning algorithm implemented from scratch.
Cyone is an assembly language specifically designed for interacting with the Cyone Kernel, a system developed for 8-bit microcontrollers.
An operational system template
SVM from scratch. For optimization I use SMO
A small collection of functions associated with radial basis function interpolation and collocation
🔍 Code to read / write the Process Memory from the Kernel 🔧