算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

Several Coding Patterns for Solving Data Structures and Algorithms Problems during Interviews

This repository contains the most common algorithms and data structures written in the Kotlin language with simple and concise code.

算法模板(c++), 包含数据结构,基础算法和算法思维篇

算法模板（Java版）——leetcode刷题与复习指南

Data Structures and Algorithms Patterns that I followed ,implemented in Python

High-perfor­mance pattern matching algo­rithms in Java

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

面试常用算法框架分类总结，带你逐类击破 LeetCode 题目，培养算法思维，一通百通。Summary of Algorithm Patterns in coding interview. Cracking LeetCode and build up your algorithm thinking.

greyireland的algorithm-pattern项目，将其Go语言代码翻译成JavaScript代码。

Common spatial pattern (CSP) is a mathematical procedure used in signal processing for separating a multivariate signal into additive subcomponents which have maximum differences in variance between two windows. This algorithm is mainly used in motor imagery based BCI for processing EEG data.

All-in-one collection for Go algos / datastructures / design patterns

算法模板，c++实现，包括最基础的数据结构和常用的算法实现！

Computer Science Design Patterns, Data Structures and Algorithms. Javascript implementations. Detailed explanations. Working examples.

Leetcode 75 study plan tasks

Just some algo, pattern and code snippets in javascript. Feel free to clone it and use it. :)

DataStructure, Algorithm, Design Patterns in Golang

This repository contains all the Data Structures and Algo. which may come handy to attempt questions of various competitive prog. platforms. Few of these include Graphs, Fast Exponentitaion, STLs of Java, Pattern matching algo., Concepts of Bit-masks.

Monitoring the health condition of the rotating machine via extracting features from sensor data/measurement and applying Principal Component Analysis, PCA. Applied K-Nearest Neighbor Algorithm for classifying five faults, Fault 1 - Bearing, Fault 2 - Gear Mesh, Fault 3 - Resonance, Fault 4 - Imbalance, Fault 5 - Misalignment. In addition to this, deisgned MMSE estimator to predict the actual measured data (without noise) of wind turbine blades and implemented CUSUM two-sided test to identifiy if the measured data exceeds the desired threshold and generate an alert. A report was generated highlighting important findings and critically evaluating the results.

Github Repository for the paper "Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study" - BIBM 2023

Folk from https://github.com/greyireland/algorithm-pattern

The notebook on famous Kaggle competition : Spooky Author Identification. The task is to identify the authors from their respective texts or work. I have first cleaned and pre-processed the text using standard NLP techniques like tokenization , stemming or lemmatization , stop-word removal etc.... I have also tried to create some meta features or hand-crafted features based on the author writing pattern. Then I have used the traditional BOW approach with TFIDF Vectorizer and the Count Vectorizer and then deployed ML algos like LogisticRegression and Naive Bayes which are well suited for text data. For me tfidf on count vectorizer gave best results till now ; My submission scored a multi-class log loss of 0.46 on kaggle private LB which is quite decent.

算法模板（C#版）——leetcode刷题与复习指南

the fundamental algorithm used for url normalization,web page classification and web information integration in web seach engine

Target tracking is the process of locating a moving object throughout a sequence of frames in a video. The project aims to design and realize a tracking system using a camera mounted on a controlled pan-tilt platform. As the target moves in the frames of the camera, the pan-tilt platform aligns itself in such a way that the object being tracked remains at the center of the camera's frame and thus in its field of vision. Clustering of Static-Adaptive Correspondences for Deformable Object Tracking (CMT) is an award-winning object tracking algorithm which is able to track a wide variety of object classes in a multitude of scenes without the need of adapting the algo- rithm to the concrete scenario in any way. A C++ implementation (CppMT) is freely available under the BSD license, meaning that you can basically do with the code whatever you want. References [1] Nebehay, G., Pugfelder, R.: Clustering of Static-Adaptive correspondences for deformable object tracking. In: Computer Vision and Pattern Recognition, IEEE (2015) 2784-2791

repo of common algo coding patterns

Designed to enhance problem-solving skills, this repository explores creative patterns using loops, conditionals, and recursion while focusing on clean and efficient code.

Notebook explores the process of calculating local extremas for: pattern recognition, support/resistance levels, and ML feature engineering

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Algorithms for Frequent-pattern Mining