The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

IVA: Independent Vector Analysis implementation

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

Ant Colony based Clustering in MATLAB

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.

TCyb 2018: Graph learning for multiview clustering

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

# Machine Learning (Coursera) This is my solution to all the programming assignments and quizzes of Machine-Learning (Coursera) taught by Andrew Ng. After completing this course you will get a broad idea of Machine learning algorithms. Try to solve all the assignments by yourself first, but if you get stuck somewhere then feel free to browse the…

Code accompanying our ACM CHIL paper: "TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records"

k-means (unsupervised learning/clustering) algorithm implemented in MATLAB.

Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017

Graph Agglomerative Clustering Library

HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition

emgr -- EMpirical GRamian Framework

EC503Project Fall2017 Anomaly Detection

This toolbox allows the implementation of the Diffusion and Volume maximization-based Image Clustering algorithm for unsupervised hyperspectral image clustering. See "README.md" for more information. Copyright: Sam L. Polk, 2023.

Machine Learning Projects for the Dr. Andrew Ng's course on Coursera

Unsupervised Learning of Mixture of von Mises-Fisher distributions using Minimum Message Length