Welcome to hls4ml’s documentation! — hls4ml 1. 3. 0 documentation hls4ml is a Python package for machine learning inference in FPGAs We create firmware implementations of machine learning algorithms using high level synthesis language (HLS) We translate traditional open-source machine learning package models into HLS that can be configured for your use-case!
GitHub - fastmachinelearning hls4ml: Machine learning on FPGAs using . . . We create firmware implementations of machine learning algorithms using high level synthesis language (HLS) We translate traditional open-source machine learning package models into HLS that can be configured for your use-case! hls4ml is designed for ultra-low-latency inference on FPGAs
HLS4ML: Ultra fast machine learning for FPGAs. - CERN hls4ml is a Python package for machine learning inference in FPGAs We create firmware implementations of machine learning algorithms using a high-level synthesis language (HLS) We translate traditional open-source machine learning package models into HLS that can be configured for your use-case
Welcome to hls4ml’s documentation! — hls4ml 0. 5. 1. dev667+g5be16b95 . . . hls4ml is a Python package for machine learning inference in FPGAs We create firmware implementations of machine learning algorithms using high level synthesis language (HLS) We translate traditional open-source machine learning package models into HLS that can be configured for your use-case!
hls4ml · PyPI We create firmware implementations of machine learning algorithms using high level synthesis language (HLS) We translate traditional open-source machine learning package models into HLS that can be configured for your use-case! hls4ml is designed for ultra-low-latency inference on FPGAs
Introduction — hls4ml 1. 3. 0 documentation The goal of hls4ml is to provide an efficient and fast translation of machine learning models from open-source packages (like Keras and PyTorch) for training machine learning algorithms to high level synthesis (HLS) code that can then be transpiled to run on an FPGA
SSI23 FastML HLS4MLTutorial •Today we will go through a few notebooks from the hls4ml tutorial - more info at the hls4ml documentation •Part 1:get started with hls4ml and train a basic model and run the conversion, simulation c-synthesis steps notebook: part1_getting_started ipynb
hls4ml - CMS Machine Learning Documentation 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