hls4ml

hls4ml is a Python package for machine learning inference in FPGAs

[hls4ml @hls4ml]

Approaching 1000 @github ⭐️s! 🙏 https://t.co/jFfW4y1OiF
#starhistory #GitHub #OpenSource via @StarHistoryHQ

[hls4ml @hls4ml]

hls4ml edelweiss release candidate v0.8.0rc1 is now out with many bug fixes and new features! Check the release notes, try it out, and give feedback in the discussion https://t.co/mAWOFQx3HD

[hls4ml @hls4ml]

6 years on from our first commit, we can visualize how the project has evolved today with @GitHubNext: https://t.co/tex0ceO3tg

[Javier M. Duarte @jmgduarte]

The @CMSExperiment Detector Performance Summary on Anomaly Detection in the CMS Global Trigger Test Crate is now public! Featuring an "anomalous" event display https://t.co/IDC5f4QV4o #axol1tl @queenquinnan @anomalous_andy @Thea_kaa @hls4ml @a3d3institute

[CMS Experiment CERN @CMSExperiment]

The Higgs boson gets a boost 🔥 and CMS is the first to look into it when it is produced in the fusion of vector bosons!
🔎 Read more in this physics briefing: https://t.co/rORb2n2yRY

#EPShep2023 @cern @EuroPhysSoc #AcademicTwitter

[Machine Learning: Science and Technology @MLSTjournal]

'Ultra-low latency recurrent #neuralnetwork inference on #FPGAs for #physics applications with #hls4ml' by @catevernieri @ShihChiehHsu1 et al @SLAClab @CERN @UW @MIT_Physics hits 500 downloads! https://t.co/6S15I2LLDj #HEP #machinelearning #AI #particlephysics #HPC #neuralnetworks

[hls4ml @hls4ml]

#hls4ml version 0.7.0 is now out! https://t.co/kb1DE1tBA1 Check out the updated docs https://t.co/kkwbUjesaM and the release notes! #MachineLearning #FPGA #Python

[hls4ml @hls4ml]

Discussion: https://t.co/xidoVqFe67

[hls4ml @hls4ml]

hls4ml v0.7.0rc1 is now out! Please try it out and give us feedback! https://t.co/4cQnl7vIqb https://t.co/xCGXVzHTey

[Machine Learning: Science and Technology @MLSTjournal]

'Real-time semantic segmentation on #FPGAs for #AutonomousVehicles with #hls4ml' by @xmpierinix @Thea_kaa @marcelroed Jennifer Ngadiuba et al @CERN @ETH @zenseact @Fermilab @CMSExperiment hits 500 downloads! https://t.co/MKg8eaMSFb #AI #machinelearning #HEP #particlephysics #HPC

[Javier M. Duarte @jmgduarte]

Exciting work from Olivia Weng, Gabriel Marcano, Vladimir Loncar, @rck289, @fkoushanfar, and others using @hls4ml and hardware-aware knowledge distillation to make #ResNets on #FPGAs more resource efficient! @UCSDPhysics @ucsd_cse @MIT @XilinxInc

[Machine Learning: Science and Technology @MLSTjournal]

Great new work by @xmpierinix @Thea_kaa @marcelroed Jennifer Ngadiuba et al @CERN @ETH @zenseact @Fermilab @CMSExperiment - 'Real-time semantic segmentation on #FPGAs for #AutonomousVehicles with #hls4ml' - https://t.co/MKg8eaMSFb #AI #machinelearning #HEP #particlephysics #HPC

[hls4ml @hls4ml]

@jmgduarte

[hls4ml @hls4ml]

👋Hello World! See you at DEFCON 30 Demolabs!