Machine Learning For Physical Sciences

AI assisted Quantum technologies
Alternatives To Machine Learning For Physical Sciences
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Cs Video Courses62,887
4 months ago
List of Computer Science courses with video lectures.
Pennylane2,11710542 days ago46November 08, 2023263apache-2.0Python
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Torchquantum1,11213 months ago8March 15, 202150mitJupyter Notebook
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
Awesome Ai Books1,086
a year agomitJupyter Notebook
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Covalent60823 months ago118December 01, 202384apache-2.0Python
Pythonic tool for running machine-learning/high performance/quantum-computing workflows in heterogeneous environments.
Quantum Neural Networks156
4 years agoapache-2.0Python
This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.
Summary126
4 months ago1mit
summaries of all the papers I read
Ssss123
4 years agomitJupyter Notebook
"Deep Learning and Quantum Programming" Spring School @ Song Shan Lake
Qmlt102
4 years ago1apache-2.0Python
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).
Hierarqcal31
6 months ago2bsd-3-clausePython
Generate hierarchical quantum circuits for Neural Architecture Search.
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