lee's repositories
Multidimensional-time-series-with-transformer
transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测
Score-Predict
排名(成绩)预测（入门Python和机器学习）
stock-price-prediction-BPNN-LSTM
Use BPNN and LSTM to forecast stock price. 使用BP神经网络和LSTM预测股票价格，注释拉满。
transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
Attention_text_classification
Interpreting the outputs of LSTM/GRU for the text classification task using modified bahdanau attention mechanism
CNN-LSTM-action-recognition
Action Recognition using InceptionV3 transfer learning ImageNet and LSTM
contrastive-predictive-coding
Keras implementation of Representation Learning with Contrastive Predictive Coding
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.
ecgn
Concepts used: kNN, SVM, boosting (XGBoost, Gradient boosting, Light GBM, AdaBoost, Random Forests), deep learning (CNN, LSTM), ensembles (model stacking), transfer learning.
Elite-Opposition-Based-Golden-Sine-Whale-Optimization-Algorithm
肖子雅, 刘升. 精英反向黄金正弦鲸鱼算法及其工程优化研究[J]. 电子学报, 2019, 47(10): 2177-2186.
fall-detection-and-predction-using-GRU-and-LSTM-with-Transfer-Learning
Fall Detection and Prediction using GRU and LSTM with Transfer Learning
FWA-DBN-ELM-for-intelligent-fault-diagnosis
FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断
learning_to_rank
利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.
logistic-ELM
A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.
LSTM-for-heat-transfert-in-an-bulding
given a set of temperatures of different room in a house we try to forecast the dynamics of the bulding.
Metaheuristic-benchmark
整理35篇期刊所使用的benchmark function(2007-2021)，並且統計各benchmark function的出現次數
Prediction-of-Remaining-useful-life-in-Li-ion-batteries
Using LSTM-RNN model with Transfer Learning
pyMetaheuristic
A python library for: Adaptive Random Search, Ant Lion Optimizer, Arithmetic Optimization Algorithm, Artificial Bee Colony Optimization, Artificial Fish Swarm Algorithm, Bat Algorithm, Biogeography Based Optimization, Cross-Entropy Method, Crow Search Algorithm, Cuckoo Search, Differential Evolution, Dispersive Flies Optimization, Dragonfly Algorithm, Firefly Algorithm, Flow Direction Algorithm, Flower Pollination Algorithm, Genetic Algorithm, Grasshopper Optimization Algorithm, Gravitational Search Algorithm, Grey Wolf Optimizer, Harris Hawks Optimization, Improved Grey Wolf Optimizer, Improved Whale Optimization Algorithm, Jaya, Jellyfish Search Optimizer, Krill Herd Algorithm, Memetic Algorithm, Moth Flame Optimization, Multiverse Optimizer,Pathfinder Algorithm, Particle Swarm Optimization, Random Search, Salp Swarm Algorithm, Simulated Annealing, Sine Cosine Algorithm, Teaching Learning Based Optimization, Whale Optimization Algorithm.
pyoselm
A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning
Pytorch-lstm-forecast
基于pytorch搭建多特征LSTM时间序列预测
pytorch_classification
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
RUL_Prediction
remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit
Stock_prediction
深度学习-贵州茅台股票预测 PCA、FA、RNN、LSTM、GRU
time-series-learning
天池”AI Earth“气象海洋预测竞赛的Topline学习教程
tsne_raw
Implementation of Symmetric SNE and t-SNE in numpy and python
Two-Step-Feature-Enhancement
Based on our paper "Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection" published in SN Computer Science