Popular GitHub Repositories for Battery Degradation

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

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

An NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.

User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).

ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control

SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.

DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided Transformer (CVPR 2024)

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).

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

[TIP2024] MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers

Deep learning of lithium-ion battery SOH using the DeTransformer model learns the aging characteristics of the battery and then makes predictions about the battery SOH in order to monitor the health of batteries in electric vehicles.

This repository contains code for estimating the State of Charge (SoC) of LG HG2 batteries using Fully Connected Network (FCN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) models along with optuna based hyperparameter tuning.

Physics-Informed Neural Network SurrogaTe for Rapidly Identifying Parameters in Energy Systems

A toolkit developed to predict and analyze PROTAC-mediated protein degradation complexes using AlphaFold3.

BatteryBERT: A Pre-trained Language Model for Battery Database Enhancement

ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification

Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement - AAAI 2023

QC-StyleGAN - Quality Controllable Image Generation and Manipulation (NeurIPS 2022)