VITORRRRRRR

VITORRRRRRR's Stars

• wang-fujin/PINN4SOH

  A physics-informed neural network for battery SOH estimation

  Language:Python8818

• zhou4256/TOPCon

  Language:Jupyter Notebook3

• wang-fujin/SOHbenchmark

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

  Language:Python6914

• lrcfmd/LiIonML

  A collection of notebooks in support of the publication "A Database of Experimentally Measured Lithium Solid Electrolyte Conductivities Evaluated with Machine Learning"

  Language:Jupyter Notebook143

• YijinLiu-Lab/CDNet

  Deep-Learning-Enabled Crack Detection and Analysis in Commercial Lithium-Ion Battery Cathodes

  Language:Python31

• ChatGPTNextWeb/ChatGPT-Next-Web

  A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

  Language:TypeScript74.9k59k

• XiuzeZhou/RUL

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

  Language:Jupyter Notebook30158

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.2k9.5k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python29.8k8.1k

• hilbert-qyw/Transfer-Learning-based-State-of-Health-Estimation-for-Lithium-ion-Battery

  Language:Python371

• cs230-stanford/cs230-code-examples

  Code examples in pyTorch and Tensorflow for CS230

  Language:Python3.8k983

• Thanos-DB/FullyConvolutionalTransformer

  Official implementation of The Fully Convolutional Transformer for Medical Image Segmentation

  Language:Jupyter Notebook11413

• aweditya/ev-battery-degradation

  Machine Learning pipeline to predict the Remaining Useful Life (RUL) of Li-ion batteries for EVs

  Language:Jupyter Notebook238

• kobiso/CBAM-keras

  CBAM implementation on Keras

  Language:Python359134

• 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

• huzaifi18/RUL_prediction

  The project focused on "Battery Remaining Useful Life (RUL) Prediction using a Data-Driven Approach with a Hybrid Deep Model combining Convolutional Neural Networks (CNN) and Long-Short Term Memory (LSTM)." This repository aims to revolutionize battery health estimation by leveraging the power of deep learning to predict the remaining useful life

  Language:Python427

• swhlqu/Ultra-early-performance-prediction

  Data and code for the paper "Ultra-early prediction of lithium-ion battery performance using mechanism and data-driven fusion model"

  Language:Python214

• microsoft/BatteryML

  Language:Jupyter Notebook482101

• Zi-hao-Wei/Battery-Management-System

  A back-up of the weekly meeting slides and the paper read, hoping to help people who have just entered the field of BMS

  Language:Python7

• dsr-18/long-live-the-battery

  Predicting total battery cycle life time with machine learning

  Language:Jupyter Notebook8944

• Zi-hao-Wei/MIT-Battery-Dataset-feature-extraction-and-RUL-prediction-by-Xgboost

  Language:Python132

• matplotlib/cheatsheets

  Official Matplotlib cheat sheets

  Language:Python7.3k882

• NahuelCostaCortez/DTW-Li-ion-Diagnosis

  Language:Jupyter Notebook184

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python53.9k5.6k

• bnarms/Battery_Temperature_Prediction_LSTM

  Language:Jupyter Notebook5

• SBML-Kimlab/D-GELS

  Deep-learning based spatio-temporal generative model to estimating state-of-health for Li-ion batteries

  Language:Jupyter Notebook5

• houshd/LSTM-FCN

  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

  Language:Python13947

• timeseriesAI/tsai

  Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  Language:Jupyter Notebook5.1k637

• lyhue1991/torchkeras

  Pytorch❤️ Keras 😋😋

  Language:Jupyter Notebook1.7k219

• wqk666999/CNN-LSTM-Attention

  使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to predict the closing price.

  21642