Supplementary archive for VDLF-Net: code, datasets, model checkpoints, and experimental results

Complete supplementary package for:

"VDLF-Net: Variational Feature Fusion for Adaptive and Few-Shot Visual Learning"

Author: Jiawei Yan, Department of Statistics, School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China
Contact: yjw1998@sjtu.edu.cn   

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Contents (vdlf_net.zip)
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Unpack to folder vdlf_net/ with five parts:

• exp1codes/ — Main Experiment 1 code, notebooks, CSV results, and notes (start here).
• experiment_1/ — Earlier Experiment 1 tree (CIFAR-100; legacy copy).
• experiment_2/ — Few-shot experiments on Mini-ImageNet (code, logs, figures, data/, checkpoints).
• experiment_ablation/ — Ablation studies (scripts, CSV, notebooks, checkpoints).
• tSNE/ — t-SNE scripts and figure outputs.

Also includes Markdown guides, shell scripts, and result files (CSV/JSON/TXT) where applicable.

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Reproduction
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Python 3.10+; PyTorch/torchvision (CUDA as appropriate). See README and guides inside each folder.

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Version
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This deposit (June 2026) supersedes the Zenodo record "Supplementary archive: VDLF-Net (code, data, and results)" (April 2026, v1). Please use this DOI for the current manuscript.

License: CC BY 4.0. Please cite this Zenodo DOI together with the journal article when published.