Fast Machine Learning Lab

Real-time and accelerated ML for fundamental sciences

Pinned Repositories

example-models
Language:Python16 17 410
hls4ml
Machine learning on FPGAs using HLS
Language:C++1.3k 58 422419
hls4ml-live-demo
Live demo of hls4ml on embedded platforms such as the Pynq-Z2
Language:VHDL8 14 14
hls4ml-tutorial
Tutorial notebooks for hls4ml
Language:Jupyter Notebook304 18 36137
keras-training
jet classification and regression training in keras
Language:Python9 10 216
models
Models and examples built with hls4ml
Language:C++12 15 23
pytorch-training
jet classification and regression training in pytorch
Language:Python6 9 12
qonnx
QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
Language:Python127 21 2540
qonnx_model_zoo
Model zoo for the Quantized ONNX (QONNX) model format
9 14 22
SonicCMS
Services for Optimized Network Inference on Coprocessors (for CMS)
Language:C++8 14 158

Fast Machine Learning Lab's Repositories

fastmachinelearning/hls4ml
Machine learning on FPGAs using HLS
Language:C++1.3k 58 422419
fastmachinelearning/hls4ml-tutorial
Tutorial notebooks for hls4ml
Language:Jupyter Notebook304 18 36137
fastmachinelearning/qonnx
QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
Language:Python127 21 2540
fastmachinelearning/example-models
Language:Python16 17 410
fastmachinelearning/qonnx_model_zoo
Model zoo for the Quantized ONNX (QONNX) model format
9 14 22
fastmachinelearning/hls4ml-live-demo
Live demo of hls4ml on embedded platforms such as the Pynq-Z2
Language:VHDL8 14 14
fastmachinelearning/fastml-science
Implementations of the fastml-science bechmark models, including a standard Keras (float) and QKeras (quantized) implementations.
Language:Python5 3 12
fastmachinelearning/ml4fg
Machine Learning on frame grabbers for ultra-low latency in situ inference
Language:Jupyter Notebook54
fastmachinelearning/ml4quantum-release
Repository for the paper "Neural network accelerator for quantum control" https://arxiv.org/abs/2208.02645
Language:Ada5 2 01
fastmachinelearning/fastmachinelearning.github.io
Language:HTML3 14 04
fastmachinelearning/l1-jet-id
Training, testing and synthetisation for FPGA of three machine learning models: MLP, deepsets, and interaction networks with application to HL-LHC jet tagging.
Language:C++3 17 02
fastmachinelearning/sonic-workflows
Language:Python3 15 09
fastmachinelearning/hawq-jet-tagging
Language:Jupyter Notebook2 1 0
fastmachinelearning/SR_Mobile_Quantization
Winner solution of mobile AI (CVPRW 2021).
Language:Python2 0 01
fastmachinelearning/hls4ml-catapult
Machine learning on FPGAs using HLS
Language:C++1 1 0
fastmachinelearning/nrp_u55c_benchmark
NRP U55C Benchmarks
Language:C1 0 01
fastmachinelearning/sciml_benchmarks
A3D3 Graph
Language:Python1 0 01
fastmachinelearning/keras-surgeon
Pruning and other network surgery for trained Keras models.
Language:Python0 0 00
fastmachinelearning/SuperSONIC
Common SONIC server infrastructure for HEP and MMA experiments
Language:Lua0 17 02
fastmachinelearning/cmssw
CMS Offline Software
Language:C++3 01
fastmachinelearning/db4hls
Language:Python1 0
fastmachinelearning/iccad2023
Fast Machine Learning for Science Workshop @ ICCAD 2023
Language:HTML1 0
fastmachinelearning/physical-cartpole
Work related to the Inverted Pendulum Hardware
fastmachinelearning/pose
11ty static site
Language:SCSS1 0
fastmachinelearning/qkeras
QKeras: a quantization deep learning library for Tensorflow Keras
Language:Python
fastmachinelearning/RecoBTag-Combined
RecoBTag-Combined
1 0
fastmachinelearning/RN0X_Pokemon
Tiny, Quantized Neural Network, orignially based on ResNet8, trained to recognize pokemon
fastmachinelearning/smart-pixels
Language:CSS14 01
fastmachinelearning/sonic-models
Model repository for SONIC
Language:Python17 07
fastmachinelearning/sonic_gantt
Gantt chart for SONIC project in CMS
Language:HTML16 01