battery-rul-estimation and battery-rul-prediction

These are competitors—both implement LSTM-based RUL prediction for lithium-ion batteries with overlapping functionality, though B additionally offers Transformer architectures and State of Performance estimation as differentiators.

battery-rul-estimation

Emerging

battery-rul-prediction

Experimental

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 21/25

Maintenance 2/25

Adoption 5/25

Maturity 1/25

Community 14/25

Stars: 198

Forks: 44

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: Apache-2.0

Stars: 12

Forks: 3

Downloads: —

Commits (30d): 0

Language: Python

License: —

Stale 6m No Package No Dependents

No License Stale 6m No Package No Dependents

About battery-rul-estimation

MichaelBosello/battery-rul-estimation

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

About battery-rul-prediction

MystiFoe/battery-rul-prediction

Professional Battery RUL Prediction System with Advanced Machine Learning - Predicting Remaining Useful Life (RUL) and State of Performance (SOP) of lithium-ion batteries using LSTM, Transformer, and Ensemble models with 95%+ accuracy. Features real-time analytics dashboard, REST API, and production-ready deployment.

Related comparisons

battery-rul-estimation and RUL battery-rul-estimation and RUL

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