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2018-ijcai-top3

This 2018 IJCAI alimama Top3 Code

bci_toolbox

Classification toolbox for ERP and SSVEP based BCI data

cikm-2019-analyticup

2019-CIKM挑战赛，超大规模推荐之用户兴趣高效检索赛道 冠军解决方案

discrete_frechet

Compute the Fréchet distance between two polygonal curves in Euclidean space.

frechet_distance

Multiple Frechet Distance calculator

gtzan.keras

[REPO] Music Genre classification on GTZAN dataset using CNNs

gtzan_key

audio data set annotations

gtzan_music_genre_classification

music genre classification based on gtzan dataset. CNN1D, CNN2D, CRNN, and mojority voting system.

hctsa

Highly comparative time-series analysis code repository

lcss

Longest common subsequences

lcssalgorithm

This project enables to study the problem of finding similarity between trajectories (trajectory similarity problem) which is a known problem in the field of Data Mining. The algorithm called to deploy and solves the above problem is the LCSS(Longest Common Subsequence). Each orbit is described by a sequence geographical points (latidute, longitude). Each record dataset that we are given represents a path of a taxi that has taken place in the city of Beijing. Each line of the file contains the following separated by commas: taxi id, timestamp, latitude, longitude.

music-genre-classification-with-python

myo-tools

为肌电信号的处理和分类工具。

recsys

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

rq-chen.github.io

spr_riav

Simulation and testing codes for star identification algorithm based on rotation-invariant additive vector frame

starid

Star Identification

starmapidentification

starmapper

Astronomical star identification and archiving application.

start

readme

traclus_impl

Python implementation of Traclus algorithm, for 2-D trajectories

traj_similarity

trajectory-analysis-and-classification-in-python-pandas-and-scikit-learn-

Read and form trajectories. Find most similar using similarity measures such as DTW and LCSS. Then we classify them.

trca-ssvep

Task-related component analysis (TRCA)-based algorithm for detecting steady-state visual evoked potentials (SSVEPs) toward a high-speed brain-computer interface (BCI).