Discover fastmachinelearning/fastml-science Open Source project

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Python
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Apache License 2.0
Created almost 3 years ago
Updated almost 2 years ago

fastmachinelearning

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Implementations of the fastml-science bechmark models, including a standard Keras (float) and QKeras (quantized) implementations.

hls4ml

Machine learning on FPGAs using HLS

C++

1,223

hls4ml-tutorial

Tutorial notebooks for hls4ml

Jupyter Notebook

286

qonnx

QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX

Python

121

example-models

Python

models

Models and examples built with hls4ml

C++

qonnx_model_zoo

Model zoo for the Quantized ONNX (QONNX) model format

keras-training

jet classification and regression training in keras

Python

hls4ml-live-demo

Live demo of hls4ml on embedded platforms such as the Pynq-Z2

VHDL

SonicCMS

Services for Optimized Network Inference on Coprocessors (for CMS)

C++

pytorch-training

jet classification and regression training in pytorch

Python

AFM-training

Training models for Atomic Force Microscopy

Jupyter Notebook

FaaST

C++

ml4quantum-release

Repository for the paper "Neural network accelerator for quantum control" https://arxiv.org/abs/2208.02645

Ada

sonic-workflows

Python

fastmachinelearning.github.io

HTML

bnn_pynq

Python

l1-jet-id

Code for Level-1 jet tagging

C++

gw-iaas

Deep learning inference-as-a-service tools and pipelines for gravitational wave physics

Python

hawq-jet-tagging

Jupyter Notebook

hls4ml-catapult-framework

A framework for developing the hls4ml Catapult backend. The C++ part of the backend is included as well

hls4ml-frame-grabbers

Jupyter Notebook

analysis-tools

Jupyter Notebook

tmva-training

For TMVA BDTs, mostly physicists

fastmachinelearning/fastml-science

fastmachinelearning

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