Design space exploration tool for SODA (MLIR-HLS) optimizing neural network hardware accelerators. Uses both exhaustive search and decision trees to automate loop/memory optimizations for efficient hardware designs. Supports convolution and fully connected layers with performance or energy-oriented options. - View it on GitHub