Statistics for topic quantum-chemistry
RepositoryStats tracks 595,856 Github repositories, of these 82 are tagged with the quantum-chemistry topic. The most common primary language for repositories using this topic is Python (50).
Stargazers over time for topic quantum-chemistry
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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.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
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.
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.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Curated list of open-source quantum software projects.
SchNetPack - Deep Neural Networks for Atomistic Systems
GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.
nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
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.
Curated list of open-source quantum software projects.
The electronic structure package for quantum computers.
Fair and transparent benchmark of machine-learned interatomic potentials (MLIPs), beyond basic error metrics
GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.
nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset
Fair and transparent benchmark of machine-learned interatomic potentials (MLIPs), beyond basic error metrics
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
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.
Curated list of open-source quantum software projects.
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
A curated list of Python packages related to chemistry
Fair and transparent benchmark of machine-learned interatomic potentials (MLIPs), beyond basic error metrics
Interactive Jupyter Notebooks for learning the fundamentals of Density-Functional Theory (DFT)
🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.