JTH-STC32

JTH-STC32's Stars

• AstraThreshold/AltiumDesignerLibPkg-dream

  自制的AD封装库，基于AD20

  61474

• rockchip-linux/mpp

  Media Process Platform (MPP) module

  Language:C523161

• jankae/LibreVNA

  100kHz to 6GHz 2 port USB based VNA

  Language:C++1.1k204

• Lichee-Pi/anlogic-usbjtag

  Binary blob for Anlogic USB-JTAG adapter (temporary), We should figure out much better solution next year.

  Language:C177

• AnlogicInfo/anlogic-usbjtag

  A far more light version anlogic-jtag cable with some enhanced functions.

  Language:Makefile4325

• PenelopeJones/battery-forecasting

  Language:Python237

• endel/NativeWebSocket

  🔌 WebSocket client for Unity - with no external dependencies (WebGL, Native, Android, iOS, UWP)

  Language:C#1.2k159

• ultralytics/ultralytics

  NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

  Language:Python28.1k5.6k

• Utkarsh2812/RUL-and-SOH-Predictions-Using-Neural-Networks

  A Deep Neural Network based model to predict the Remaining Useful Life cycles of battery and on the basis of State of Health of the battery. Project was tested over the NASA AMES Dataset of Batteries and Successfully predicted the outcomes.

  Language:Jupyter Notebook73

• Dexuan-Meng/SemesterThesis_ML_RuL_Uncertainty

  Semester Thesis: ML-based prediction of RuL of Li-ion battery with Uncertainty

  Language:Python1

• OlegZZH/RUL-prediction-LSTM

  Language:Jupyter Notebook1

• SuryaPrakash2/DATA-DRIVEN-APPROACH-FOR-PREDICTION-OF-REMAINING-USEFUL-LIFE-RUL-OF-LI-ION-BATTERY

  Machine learning based RUL prediction of lithium ion battery

  Language:Jupyter Notebook91

• slayer6996/RUL_prediction

  LSTM model for prediction of RUL of Li-ion batteries using NASA dataset.

  Language:Jupyter Notebook8

• Zi-hao-Wei/MIT-Battery-Dataset-RUL-prediction-by-naive-LSTM

  A naive LSTM implementation for battery RUL prediction

  Language:Python141

• jingshi-yang/AI-Based-Prediction-Algorithm-For-The-Battery-Life

  An LSTM based neural network to predict RUL of Li-ion battery.

  Language:Python162

• yash0530/RUL-Prediction-for-Li-ion-Batteries

  Language:Jupyter Notebook83

• ikumpli/LSTM-GANS-RUL-Prediction-for-Lithium-ion-Bateries

  This paper summarizes a deep learning-based approach with an LSTM trained on the widely used Oxford battery degradation dataset and the help of generative adversarial networks (GANS).

  Language:Jupyter Notebook506

• WenPengfei0823/PINN-Battery-Prognostics

  State of Health (SoH) and Remaining Useful Life (RUL) prediction for Li-ion batteries based on Physics-Informed Neural Networks (PINN).

  Language:Python12318

• viscio/Battery-RUL-predictions

  Prediction of battery lifetimes based on a Recurrent Neural Network (RNN) architecture. Data publicly available here: https://doi.org/10.1038/s41560-019-0356-8

  Language:Jupyter Notebook205

• Lipenghua-CQ/CNN-ASTLSTM

  Code for paper "An end-to-end neural network framework for SOH estimation and RUL prediction of lithium battery"

  Language:Python9119

• jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction

  PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.

  Language:Python11723

• Hutianzhong/RUL-Prediction-Battery

  Application of Deep Learning in RUL Prediction of Batteries

  Language:MATLAB199

• VaibhavBhujade/RUL-of-Lithium-Ion-Battery

  Prediction of RUL of Lithium ion battery

  Language:Python5816

• XiuzeZhou/RUL

  Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

  Language:Jupyter Notebook29757

• iacopomarri/ML-strategies-for-SoH_Estimation-and-RUL_prediction-for-lithium-ion-batteries

  Repository for my thesis work about state of health estimation and remaining useful life prediction using ML techniques

  Language:MATLAB183

• crazytreesTomCat/huotarim-xgboost-li-ion-batteries

  XGBoost regression for predicting the state-of-health for litium-ion batteries

  1

• ali-azary/python-postgresql

  State of Health of Li-ion batteries from Electrochemical Impedance Spectroscopy

  Language:Python4

• ShreyaShinde25/Data-Driven-Modelling-of-Lithium-ion-batteries

  Developed a data-driven prognostic model using the Long short-term memory (LSTM) algorithm to predict the state of charge (SoC) and state of health (SoH) of the lithium-ion battery where the dataset was taken from the NASA Repository. The proposed LSTM algorithm was compared against other deep learning algorithms based on RMSE value.

  Language:Python309

• QinganZhao/Cycle-life-model-for-graphite-LiFePO4-cells

  State of charge and state of health estimation of Li-ion battery

  Language:Matlab3613

• DariusRoman/Machine-learning-pipeline-for-battery-state-of-health-estimation

  Code for "Machine learning pipeline for battery state-of-health estimation"

  Language:Python5318