UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

统计分析课程实验作业/包含《统计分析方法》中因子分析，主成分分析，Kmeans聚类等典型算法的手写实现

Multi-target tracker based on cost computation.

Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationships between West Texas Intermediate and S&P 500, Dow Jones Utility Avg, US Dollar Index Futures , US 10 Yr Treasury Bonds , Gold Futures.

🪥 Unofficial re-implementation of Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

EfficientNetV2 based PaDiM

Graph-based image anomaly detection algorithm leveraging on the Graph Fourier Transform

Case-based Reasoning (CBR) System

This is the official code for 'Squeeze Every Bit of Insight: Leveraging Few-shot Models with a Compact Support Set for Domain Transfer in Object Detection from Pineapple Fields' and 'Simple Object Detection Framework without Training' project.

Defect Classification in Injection Molding Using Machine Learning

Showcase how machine learning can help plant operator monitor equipment condition through correctly analyzing measurement data collected from many sensors.

Course submission material for Lidar point cloud based 3D Detection using Yolo, followed by Sensor Fusion and Camera Based Tracking using Extended Kalman Filters for Udacity Self Driving Nanodegree

Detecting Outliers in Network Meta-Analysis

Plugins to Phy1 - additional features to Phy

This Project is detect outliers in sensor networks. We are using ISSNIP Single hop dataset for this.

A Data Mining Streamlit Application for Astrophysical Prediction using Random Forest Classification in Python

Codebase for the paper Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection

An application of Mahalanobis distance to classify breast density on the BIRADS scale.