1fgc

1fgc's Stars

• BayesWatch/deep-kernel-transfer

  Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

  Language:Python19629

• zhangshaowenbenren/Relaxation-voltage

  Code for paper: Voltage relaxation-based state-of-health estimation of lithium-ion batteries using convolutional neural networks and transfer learning.

  Language:Python241

• rrjebat/cap-est-degradation-diagnostics

  Language:MATLAB101

• wswen/Energitic-project-1

  This study pioneers E-LSTM and CNN-LSTM deep learning models for precise Lithium-Ion Battery State of Health (SOH) prediction. Using MIT's battery dataset, our interpretable models, enhanced by Shapley Additive exPlanations and pattern mining, offer promising results.

  81

• sadmansakib26/Battery_SoH_Estimation

  Estimation of State of Health of Li-ion batteries using ensemble models

  Language:Jupyter Notebook51

• wang-fujin/SOHbenchmark

  A code library and benchmark study on SOH estimation of lithium-ion battery

  Language:Python6613

• levelsetbox/-transfer-learning-regression

  a sample learning algorithm based on TrAdaBoost for regression using remote sensing data and few samples from both time-domain

  Language:Python2

• meliodas32161/MSTwo-stage-AdaBoostR2

  Based on the TrAdaBoost proposed in 2010, I try to improve it in order to more suit to Multi-sources condition

  Language:Python1

• Shida-Jiang/EKF_UKF_SOCSOH_estimation

  Battery State-of-Charge and State-of-Health Co-estimation Using EKF and UKF

  Language:MATLAB183

• parthnakar1/SOC-Estimation-using-Kalman-Filter

  SOC Estimation for LiFPO4 battery using Extended Kalman Filter

  Language:Jupyter Notebook258

• zhugw/antifraud-design-demo

  风控系统设计demo

  Language:Java239

• kzbkzb/Python-AI

  深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch

  Language:Jupyter Notebook770164

• reza-asad/Regression-GAM

  In this example I preform spline regression on each variable (these are the weak learners) and combine the results using gradient boosting.

  Language:Matlab2

• kuan-li/boost_elm

  Language:MATLAB3

• AntoineAugusti/bagging-boosting-random-forests

  Bagging, boosting and random forests in Matlab

  Language:Matlab2314

• yangyugit/dynamic_stlf

  A dynamic ensemble method for residential short-term load forecasting

  Language:MATLAB4

• HadisehPourali/Ensemble-Kernel-Learning-Model-for-Prediction-of-Time-Series-Based-on-the-Support-Vector-Regression-

  Time series prediction based on support vector regression

  Language:MATLAB51

• Ariakhoshsirat/EnsemblePractice

  Practicing some ensemble methods including: Bagging, Boosting and Random Forest.

  Language:MATLAB2

• PKUWZP/Ensemble-Deep-Learning

  Deep Learning with Ensemble Methods

  Language:Matlab45

• vhrique/ELT

  Ensemble Learning Toolbox

  Language:MATLAB155

• AccumulateMore/CV

  ✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

  Language:Jupyter Notebook5.3k704

• lgy0404/d2l-2023

  ✔️（持续更新）李沐 【动手学深度学习v2 PyTorch版】课程学习笔记，更正了AccumulateMore笔记的部分错误，从更加初级的角度做了部分内容补充

  Language:Jupyter Notebook7411

• phmferreira/project_ST_OS_ELMK

  Implementation of an online sequential extreme learning machine with kernels for nonstationary time series prediction.

  Language:MATLAB122

• MaybeWilliam/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。

  15852

• Bosh-Kuo/GNN-LSTM-based-Fusion-Model-for-Structural-Dynamic-Responses-Prediction

  A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.

  Language:Python397

• Obish/LSTM-and-SVR-on-Battery-SOH-

  Language:Jupyter Notebook92

• sileneer/NRP_2022_EEE12

  LSTM and GRU model to predict the SOH of the batteries

  Language:Jupyter Notebook404

• 2019211474/DL-NASA-SOH-CNN-BILSTM-Attention

  这是我关于使用深度学习方法去评估锂电池健康状态（SOH）的一点点工作，对象是NASA的锂电池容量衰退数据集，分析了加入锂电池运行的可监测数据对SOH的影响

  Language:Python253

• zshicode/GNN-AttCL-protein

  Models and benchmarks for protein classification

  Language:Python11

• KevinMcDonnell6/MSencoding

  CNN-GNN encoder for tandem MS spectra

  Language:Python62