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Projects in Awesome Lists by fastmachinelearning

A curated list of projects in awesome lists by fastmachinelearning .

https://github.com/fastmachinelearning/qonnx

QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX

deep-learning fpga inference machine-learning onnx quantization quantized-neural-networks

Last synced: 16 May 2025

https://github.com/fastmachinelearning/models

Models and examples built with hls4ml

Last synced: 14 Apr 2025

https://github.com/fastmachinelearning/qonnx_model_zoo

Model zoo for the Quantized ONNX (QONNX) model format

Last synced: 15 Mar 2025

https://github.com/fastmachinelearning/keras-training

jet classification and regression training in keras

Last synced: 14 Apr 2025

https://github.com/fastmachinelearning/hls4ml-live-demo

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

Last synced: 15 Mar 2025

https://github.com/fastmachinelearning/soniccms

Services for Optimized Network Inference on Coprocessors (for CMS)

Last synced: 14 Apr 2025

https://github.com/fastmachinelearning/nac-opt

Neural Architecture Codesign: A Model Optimization Toolkit for Physics

Last synced: 14 Apr 2025

https://github.com/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.

Last synced: 08 May 2025

https://github.com/fastmachinelearning/pytorch-training

jet classification and regression training in pytorch

Last synced: 14 Apr 2025

https://github.com/fastmachinelearning/afm-training

Training models for Atomic Force Microscopy

Last synced: 14 Apr 2025

https://github.com/fastmachinelearning/ml4fg

Machine Learning on frame grabbers for ultra-low latency in situ inference

dl dnn fpga hls imaging inference machine-learning ml vivado vivado-hls

Last synced: 14 Apr 2025

https://github.com/fastmachinelearning/fastml-science

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

edge machine-learning real-time science

Last synced: 14 Apr 2025

https://github.com/fastmachinelearning/supersonic

Server infrastructure for GPU inference-as-a-service in large scientific experiments

Last synced: 14 Apr 2025

https://github.com/fastmachinelearning/ml4quantum-release

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

Last synced: 15 Mar 2025

https://github.com/fastmachinelearning/hls4ml-catapult-framework

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

Last synced: 08 May 2025

https://github.com/fastmachinelearning/gw-iaas

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

deep-learning gravitational-waves inference ml-infrastructure

Last synced: 14 Apr 2025

https://github.com/fastmachinelearning/tmva-training

For TMVA BDTs, mostly physicists

Last synced: 15 Mar 2025

https://github.com/fastmachinelearning/l1tjettaggingcms

Documentation L1T Phase 2 Jet Tagging Projects in CMS

Last synced: 15 Mar 2025

https://github.com/fastmachinelearning/sonic_gantt

Gantt chart for SONIC project in CMS

Last synced: 15 Mar 2025

https://github.com/fastmachinelearning/hep-ml-on-gcp

High energy physics machine learning on Google Cloud Platform

Last synced: 15 Mar 2025

https://github.com/fastmachinelearning/sonic-models

Model repository for SONIC

Last synced: 14 Apr 2025