Direct inference with hls4ml¶

hls4ml is a Python package developed by the Fast Machine Learning Lab. It's primary purpose is to create firmware implementations of machine learning (ML) models to be run on FPGAs. The package interfaces with a high-level synthesis (HLS) backend (i.e. Xilinx Vivado HLS) to transpile the ML model into hardware description language (HDL). The primary hls4ml documentation, including API reference pages, is located here.

The main hls4ml tutorial code is kept on GitHub. Users are welcome to walk through the notebooks at their own pace. There is also a set of slides linked to the README.

That said, there have been several cases where the hls4ml developers have given live demonstrations and tutorials. Below is a non-exhaustive list of tutorials given in the last few years (newest on top).