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neural-codec

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aditytarajmandloi / NeuroSat-VQ

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An edge-optimized Vector-Quantized Autoencoder (VQ-VAE) in PyTorch for high-fidelity satellite image compression. Utilizes Sliced Vector Quantization and Gradient Checkpointing to operate within 4GB VRAM, achieving a 19x compression ratio at 0.92 SSIM via a custom composite loss function.

computer-vision deep-learning autoencoder image-compression satellite-imagery edge-computing vq-vae neural-codec
  • Updated May 31, 2026
  • JavaScript

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