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NeerajCodz
/
aiBatteryLifeCycle

Tabular Regression
Keras
Joblib
English
battery
state-of-health
partial-discharge
regression
external-validation
data-leakage
Model card Files Files and versions
xet
Community

Instructions to use NeerajCodz/aiBatteryLifeCycle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use NeerajCodz/aiBatteryLifeCycle with Keras:

    # !pip install -U keras tensorflow huggingface_hub
    # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here;
    # "jax" and "torch" also work for computation once TensorFlow is installed.
    import os
    os.environ["KERAS_BACKEND"] = "tensorflow"
    
    import keras
    
    model = keras.saving.load_model("hf://NeerajCodz/aiBatteryLifeCycle")
    
  • Notebooks
  • Google Colab
  • Kaggle
aiBatteryLifeCycle / v2 /results
1.32 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
NeerajCodz's picture
NeerajCodz
fix: v3
c8de822 8 months ago
  • battery_features.csv
    677 kB
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  • battery_sequences.npz
    271 kB
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  • best_model_analysis.png
    113 kB
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  • classical_results.csv
    546 Bytes
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  • classical_rul_results.csv
    417 Bytes
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  • classical_soh_results.csv
    1.24 kB
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  • dg_itransformer_results.json
    217 Bytes
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  • ensemble_results.csv
    1.06 kB
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  • final_rankings.csv
    2.8 kB
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  • intra_battery.json
    279 Bytes
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  • lstm_soh_results.csv
    556 Bytes
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  • model_validation.csv
    1.77 kB
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  • per_battery_accuracy.png
    80.5 kB
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  • r2_vs_accuracy.png
    71.3 kB
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  • training_summary.json
    363 Bytes
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  • transformer_soh_results.csv
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  • unified_results.csv
    2.8 kB
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  • vae_lstm_results.json
    182 Bytes
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  • validation_accuracy_bars.png
    94.3 kB
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  • validation_report.html
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  • validation_summary.json
    300 Bytes
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