GitHub topics: pattern-analysis
Mani2815/Crime_Prediction
This repository contains project that focuses on analyzing crime data to predict the identity of perpetrators using machine learning techniques. It estimates age, gender, and relationship to the victim based on inputs like crime type, weapon used, and location. The system aids law enforcement by providing data insights to support investigation
Language: Jupyter Notebook - Size: 9.61 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

vitorsr/SIHR π¦
Fast/non-data-aided single image highlight removal methods in MATLAB/GNU Octave
Language: MATLAB - Size: 515 KB - Last synced at: 5 days ago - Pushed at: almost 5 years ago - Stars: 129 - Forks: 37

FarhanTips/Pattern-Recognition
Explore hands-on project and exercises in Pattern Recognition, focusing on techniques like classification, clustering, feature extraction, and pattern analysis.
Language: Jupyter Notebook - Size: 4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

vocdex/fau_summaries
Summaries of courses in ML and Robotics-related courses at FAU (Friedrich-Alexander-UniversitΓ€t )
Size: 19.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Yoppman/Ant-Simulation
This repository contains an advanced Ant Colony Simulation that demonstrates emergent behavior through pheromone-based pathfinding and collective food gathering.
Language: Python - Size: 3.64 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 2

rodrigoalvesvieira/SoundKeylogger
An experimental project to demonstrate how a user keyboard input may be sniffed through the pattern analysis of the sounds emitted by the keystrokes.
Language: C - Size: 10 MB - Last synced at: 17 days ago - Pushed at: almost 9 years ago - Stars: 67 - Forks: 9

raamana/kernelmethods
Foundational library for Kernel methods in pattern analysis and machine learning
Language: Python - Size: 7.15 MB - Last synced at: 14 days ago - Pushed at: about 2 years ago - Stars: 41 - Forks: 11

flekschas/higlass-scalable-insets
Scalable Insets for HiGlass: a new technique for interactively exploring and navigating large numbers of annotated patterns in multiscale visual spaces such as gigapixel images, matrices, or maps.
Language: Jupyter Notebook - Size: 31.8 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 1

lukassnoek/skbold π¦
Utilities and tools for machine learning on BOLD-fMRI data
Language: Python - Size: 104 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 14 - Forks: 9

SamiraParva/Service_Usage_Pattern_Analysis
Language: Python - Size: 212 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

clarkzjw/Dehaze π¦
Dark Channel Prior Based Image Dehazing Method
Language: C++ - Size: 508 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 21 - Forks: 7

parthsbansal/reddit_sentiment
Determine the sentiment of a community towards companies and their effect on the company in the stock market by analyzing their online presence on various social media platforms.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ozumi/Visual-Work-History
π©π»βπ μκ°ν λΆμ μμ€ν μ μ¬μ©ν¨ν΄μ λΆμνκΈ° μν μΉμ¬μ΄νΈλ₯Ό κ°λ°νμμ΅λλ€.
Language: JavaScript - Size: 416 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

tayebiarasteh/Unsupervised_PatternAnalysis
Density Estimation, HMM Signature Verification, K-Means and Gap Statistics, Random Forests
Language: Python - Size: 11.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

qizr/Software-Architecture-Patterns
Size: 23.4 KB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

dkaushik94/GIT-alyzer
Repository for Git analyzer.
Language: Python - Size: 450 KB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2
