Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势，无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE-CycleGAN. This algorithm combines the advantages of variational autoencoders (VAE) and CycleGAN to detect defects in images without any supervision.

A collection of real-time detection methods built with Tinybird. Methods include rate-of-change, out-of-range, timeout, Z-score, and Interquartile Range (IQR).

In this section, we will examine unsupervised learning algorithms in machine learning.

Repositori ini berisi dua project analisis data menggunakan metodologi CRISP-DM. Project pertama meneliti tren penjualan Walmart dengan Supervised analysis menggunakan algoritma Naive Bayes Gaussian dan K-Nearest Neighbors. Project kedua mengeksplorasi faktor sosio-ekonomi antar negara dengan Unsupervised analysis.

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

[MedIA 2024] This is a code implemention of the joint learning framework proposed in the manuscipt "Joint learning framework of cross-modal synthesis and diagnosis for Alzheimer's disease by mining underlying shared modality information".

Delta Descriptors: Visual Localization via Visual Place Recognition (VPR) where places are described using a change-based spatio-temporal representation. (RA-L & IROS 2020)

Efficient implementation of Density-Based Clustering Validation (DBCV) metric, fully compatible with the original MATLAB implementation.

Analysis scripts for log data sets used in anomaly detection.

Self-Supervised Vision Transformers for multiplexed imaging datasets

Latent Dirichlet Allocation via collapsed Gibbs sampling.

A method for grouping, clustering, and merging semi-structured alerts

Codebase for the paper HawkI: HawkI: Homography & Mutual Information Guidance for 3D-free Single Image to Aerial View

Knowledge Augmented Clustering

Master's Dissertation: Unsupervised Low-Frequency NILM for Industrial Loads

Implement of paper "Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures"

This is the source code repository for unsupervised noise reduction research.

In this project the Turkey Student Evaluation dataset which in question consists of feedback from students who attended multiple courses at Gazi University, Ankara used.To analyze the questions we used unsupervised learning methods, which involve finding patterns or groupings in a given dataset without any labeled output variable.

This project aims to provide an unsupervised lightweight solution to estimate the count of various different category of Vehicles. By implementing a novel Locality Sensitive Hashing based sketch.