Popular GitHub Repositories for Quantum Entanglement

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

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

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

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.

SchNetPack - Deep Neural Networks for Atomistic Systems

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

Machine learning algorithms for many-body quantum systems

A Benchmark of Text Classification in PyTorch

Accurate Neural Network Potential on PyTorch

Tensor network based quantum software framework for the NISQ era

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

An extensive library of AI resources including books, courses, papers, guides, articles, tutorials, notebooks, AI field advancements and more.

Toqito（量子信息工具包理论）是一个用于量子信息理论研究的Python库。

Pytorch differentiable molecular dynamics

Reinforcement Learning for Molecular Design Guided by Quantum Mechanics

The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.

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).

SO3krates and Universal Pairwise Force Field for Molecular Simulation