A fully custom Image Super-Resolution system built from scratch using Python, CuPy, and C++ acceleration, without relying on frameworks like PyTorch, TensorFlow, or JAX.
This project focuses on understanding deep learning at its core by implementing a Residual CNN for 2× image upscaling, complete with manual forward and backward propagation, GPU acceleration, and performance optimizations.