Starred repositories
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sa…
This project presents a complete Bayesian framework combined with the Random vector function-link nets (RVFL) algorithm for complicated data modeling, where we add the prior distribution both on th…
This is a Python package for Broad Learning System.
use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。
A tensorflow implementation of OS-ELM (Online Sequential Extreme Learning Machine)
Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
Extreme Learning Machine implementation in Python
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
Minimal, clean example of lstm neural network training in python, for learning purposes.
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
Twitter's Anomaly Detection in Pure Python
An inexpensive time-series analysis of ECG for early MI detection.
Fault Diagnosis with Machine Learning Methods, the dissertation project of my MSc Data Science degree at King's College London
PhD research-related software on fault diagnosis
MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
This repository is mainly to show the source code of neural component analysis.
