terencetaothucb/CVAE-Rapid-SOH-Estimation-for-Retired-Batteries-Using-Generated-Data
Code for PulseBat dataset. We use conditional variational autoencoder to generate sufficient pulse voltage response data across random battery SOC retirement conditions, facilitating rapid, accurate and sustainable downstream SOH estimation tasks.
No commits in the last 6 months.
Stars
16
Forks
2
Language
Python
License
—
Category
Last pushed
Oct 12, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/terencetaothucb/CVAE-Rapid-SOH-Estimation-for-Retired-Batteries-Using-Generated-Data"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
EdoardoBotta/RQ-VAE-Recommender
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with...
is0383kk/SymbolEmergence-VAE-GMM
Symbol emergence using Variational Auto-Encoder and Gaussian Mixture Model...
is0383kk/Dirichlet-VAE
Dirichlet-Variational Auto-Encoder by PyTorch
Bhavik-Ardeshna/pytorch-VAE
Variational Autoencoder and a Disentangled version (beta-VAE) implementation in PyTorch-Lightning
farhad-dalirani/Controllable-Face-Generation-VAE
A controllable generative model using a Convolutional Variational Autoencoder (VAE) with GUI to...