hls4ml
The hls4ml project enables the conversion of machine learning models to HLS implementations for efficient FPGA inference. It supports customized firmware for specific requirements and uses Xilinx Vivado HLS for model synthesis. Comprehensive tutorials and documentation make it suitable for diverse applications. The package supports profiling, CNNs, and optimization for binary/ternary networks, assisting in real-time segmentation and compression. This initiative, supported by scientific organizations, aims to advance AI and FPGA synergy for data-driven insights.
