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1d-based-dcnn

一维卷积网络用于航空发动机剩余寿命预测

a-stock-prediction-algorithm-based-on-machine-learning

（陆续更新）重新整理过的基于机器学习的股票价格预测算法，里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测，包含：LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM等

adaptive-soft-sensor-design

Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"

air_pollution_forcast_beijing

基于Keras的LSTM多变量时间序列预测

alternator_analysis

依据发电机电流预测发电机故障以及故障时间

animal-matting

Github repository for the paper End-to-end Animal Image Matting

attention_text_classification

Interpreting the outputs of LSTM/GRU for the text classification task using modified bahdanau attention mechanism

beam_deflections_pso_xgboost

Hybrid model to predict long-term deflection of reinforced concrete members

binary-whale-optimization-algorithm

Tawhid, M.A., Ibrahim, A.M. Feature selection based on rough set approach, wrapper approach, and binary whale optimization algorithm. Int. J. Mach. Learn. & Cyber. 11, 573–602 (2020). https://doi.org/10.1007/s13042-019-00996-5

bp-rbf-prediction

使用BP神经网络、RBF神经网络以及PSO优化的RBF神经网络进行数据的预测

bpnn-matlab

使用bp神经网络预测电力负荷，使用小型数据集，通过一个简单的例子。Using BPNN to predict power load, using small data set, a simple example.

carnd-alexnet-feature-extraction

This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.

cec2017-boundcontrained

chemical-product-prediction

化工产品品质预测

chemical_products

化工产品品质智能预测算法

cnn-lstm-action-recognition

Action Recognition using InceptionV3 transfer learning ImageNet and LSTM

cnn-svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

coa

A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018

constrained-extreme-learning-machine

constrained extreme learning machine, IJCNN 2014

container-sim

基于时序数据的容器负载预测和容器节能调度实验

contrastive-predictive-coding

Keras implementation of Representation Learning with Contrastive Predictive Coding

cp-pdwoa

For the insufficiency of the original WOA algorithm search mechanism, we modified it based on the original code.

crops

农作物病虫害预测

cuckoo-search

Cuckoo search via Levy flights.

cv_features_hog_feature_extraction

This is the HoG feature extraction codes by pure numpy

dae4muldoa

Fast DoA estimation of multiple targets using a Denoising Autoencoder and sparse arrays

data_mining_homework

数据挖掘作业数据以及代码(电动车价格预测)

dc_pv_power_predict_2018

DataCastle 2018国能日新第一届光伏功率预测

deep-learning-paper-and-code

VGG, ResNet, STN, FSRCNN, Semantic Segmentation, YOLO, Grad-CAM, Style Transfer, LSTM, Seq2Seq, GAN, Image-to-Image papers were summarized and implemented as Pytorch.

deep_autoencoder_with_elm

Deep Autoencoder with Extreme Learning Machines