fastmachinelearning/pytorch-training

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6
Rank 2,539,965 (Top 51 %)
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Python
License
Apache License 2.0
Created almost 7 years ago
Updated almost 4 years ago

fastmachinelearning/pytorch-training

fastmachinelearning

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jet classification and regression training in pytorch

hls4ml

Machine learning on FPGAs using HLS

hls4ml-tutorial

Tutorial notebooks for hls4ml

Jupyter Notebook

qonnx

QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX

example-models

models

Models and examples built with hls4ml

qonnx_model_zoo

Model zoo for the Quantized ONNX (QONNX) model format

keras-training

jet classification and regression training in keras

hls4ml-live-demo

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

SonicCMS

Services for Optimized Network Inference on Coprocessors (for CMS)

AFM-training

Training models for Atomic Force Microscopy

Jupyter Notebook

fastml-science

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

FaaST

ml4quantum-release

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

sonic-workflows

fastmachinelearning.github.io

bnn_pynq

l1-jet-id

Code for Level-1 jet tagging

gw-iaas

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

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