zshicode's repositories
Attention-CLX-stock-prediction
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
Deep-Learning-Based-State-Estimation
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
MambaStock
MambaStock: Selective state space model for stock prediction
GNN-for-text-classification
Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classification
LaTeX-Beamer-Nankai
LaTeX beamer template of Nankai University
MambaLithium
MambaLithium: Selective state space model for remaining-useful-life, state-of-health, and state-of-charge estimation of lithium-ion batteries
Raman-Spectra-Deep-Learning
PyTorch implementation of deep learning for Raman spectrum recognition: CNN, LSTM, GNN and contrastive learning
GNN-AttCL-protein
Models and benchmarks for protein classification
Latent-variable-GNN
Combination of latent variable inference and graph neural networks
A-Verilog-VHDL-design-using-python
A basic introduction of Verilog/VHDL design using Myhdl based on Python.
Deep-Learning-AGV-Control
Deep learning-based Kalman Filter and linear quadratic Gaussian (LQG) optimal control of automated-guided vehicles (AGV)
Deep-Learning-Raman-Element
Deep learning for element identification using Raman spectrum
DL-Food-Taste-QSAR
Deep learning-based food-compound QSAR of food tastes
VGAELDA
VGAELDA: a representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations