Projects: pypi: hls4ml
https://packages.ecosyste.ms/registries/pypi.org/packages/hls4ml
Machine learning in FPGAs using HLS
9 versions
Latest release: about 3 years ago
604 downloads last month
Enhanced Analysis
Educational Contributors:
jduarte@ucsd.edu
sioni.summers10@imperial.ac.uk
jduarte@caltech.edu
maksymilian.graczyk18@imperial.ac.uk
nikib@uw.edu
mcolom4@uillinois.edu
giuseppe@cs.columbia.edu
afusco1@email.arizona.edu
jshoe@mit.edu
Repository Activity:
Repository Owner:
Fast Machine Learning Lab (organization)
Real-time and accelerated ML for fundamental sciences Academic
Real-time and accelerated ML for fundamental sciences Academic
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+180
Educational commit emails
9 contributors with educational email addresses -
+20
Academic repository owner
Repository owned by academic institution -
+15
Institutional repository owner
Repository owned by research institution -
+15
CITATION.cff file
Contains citation file for academic attribution
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning hls4ml 2
10.3390/s19132981
Mapping Neural Networks to FPGA-Based IoT Devices for Ultra-Low Latency ProcessingCited by: 17
Author(s): Maciej Wielgosz, Michał Karwatowski
Software Mentions: 3
Published: almost 7 years ago
10.3389/frai.2021.676564
Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network InferenceCited by: 13
Author(s): Benjamin Hawks, J. Duarte, Nicholas J. Fraser, Alessandro Pappalardo, N. V. Tran, Yaman Umuroglu
Software Mentions: 2
Published: almost 5 years ago