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deep-learning-pipelines

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🛰️ Geospatial Land Classification study using Hybrid CNN-ViT architectures. Implemented across TensorFlow & PyTorch, featuring custom satellite imagery ETL and comparative analysis of Attention vs. Convolutions. Developed for the IBM Professional Capstone.

  • Updated Feb 17, 2026
  • Jupyter Notebook

An optimized, out-of-core asynchronous data streaming pipeline for high-throughput 3D point cloud training loops. Features low-level numpy.memmap zero-copy reads and multi-threaded ring prefetching to eliminate I/O bottlenecks, delivering a 33.33% throughput efficiency gain on PyTorch CUDA workloads.

  • Updated May 31, 2026
  • Python

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