zshicode/Deep-Learning-Based-State-Estimation

Stars
90
Rank 366,915 (Top 8 %)
Language
Python
Created over 3 years ago
Updated about 2 years ago

zshicode/Deep-Learning-Based-State-Estimation

zshicode

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Incorporating Transformer and LSTM to Kalman Filter with EM algorithm

Attention-CLX-stock-prediction

Attention-based CNN-LSTM and XGBoost hybrid 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

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-Raman-Element

Deep learning for element identification using Raman spectrum

GNN-Food-Pairing

Food pairing recommendation based on food-compound matrix and graph neural networks

Deep-Learning-AGV-Control

Deep learning-based Kalman Filter and linear quadratic Gaussian (LQG) optimal control of automated-guided vehicles (AGV)

DL-Food-Taste-QSAR

Deep learning-based food-compound QSAR of food tastes

MambaLithium

MambaLithium: Selective state space model for state-of-charge estimation of lithium-ion batteries

Comprehensive-LP-GNN

Some tentative models that incorporate label propagation to graph neural networks for graph representation learning in nodes, links or graphs.