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awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

dag

Library and examples for DirectedAcyclicGraphs

deepxs

Deep Learning applied to Quantum Field Theory. An AI that predicts LHC pair production cross-sections for supersymmetric particles at next-to-leading order.

energyreconstruction

fcc-edm

FCC Event Data Model

fcc-physics

Physics tools for the FCC

fcchhanalyses

FCC-hh physics Analyses using heppy

fccsw

FCC software, common to FCC-hh, -ee, and -eh.

gevolab

hep-ml-resources

Listing of useful learning resources for machine learning applications in high energy physics (HEPML)

heppy

A python analysis framework for high energy physics

icp-workshop-2018

intel-qs

mlhep2015

MLHEP 2015 materials (http://hse.ru/mlhep2015)

mlhep2016

Machine Learning in High Energy Physics 2016

mlhep2017

MLHEP 2017 slides & seminars

mlhep2018

MLHEP-18 slides and stuff

netket

Machine learning algorithms for many-body quantum systems

podio

podio data model package

q-nn

Implementation of a Quantum Perceptron on actual Quantum Computing hardware.

qiskit-tutorials

A collection of Jupyter notebooks from the community and qiskit developers showing how to use Qiskit

qmlt

The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).

quantumperceptron

implementation of a 2D quantum perceptron

qucumber

Neural Network Many-Body Wavefunction Reconstruction

rigetti_training_material

Slide decks and Jupyter notebooks for training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.

schnetpack

SchNetPack - Deep Neural Networks for Atomistic Systems

string_data17

tensorflow

Computation using data flow graphs for scalable machine learning

topocm_content

Course on topology in condensed matter

tqp-webfest

Webfest project at CERN