google-deepmind / ferminetLinks
An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations
☆789Updated last week
Alternatives and similar repositories for ferminet
Users that are interested in ferminet are comparing it to the libraries listed below
Sorting:
- Deep learning quantum Monte Carlo for electrons in real space☆394Updated 2 months ago
- Machine learning algorithms for many-body quantum systems☆623Updated this week
- Differentiable, Hardware Accelerated, Molecular Dynamics☆1,307Updated 3 weeks ago
- Python module for quantum chemistry☆1,426Updated this week
- A python library for quantum information and many-body calculations including tensor networks.☆589Updated this week
- A High-Level Abstraction Framework for Quantum Algorithms☆406Updated last week
- ☆708Updated last year
- Deep learning for molecules and materials book☆671Updated last month
- NequIP is a code for building E(3)-equivariant interatomic potentials☆787Updated last week
- ORB forcefield models from Orbital Materials☆487Updated last month
- End-To-End Molecular Dynamics (MD) Engine using PyTorch☆661Updated 8 months ago
- A modular framework for neural networks with Euclidean symmetry☆1,152Updated 3 weeks ago
- PyTheus, a highly-efficient inverse-design algorithm for quantum optical experiments☆175Updated last week
- Tensor Network Python (TeNPy)☆446Updated 3 weeks ago
- Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python☆1,090Updated 2 weeks ago
- Tensor network based quantum software framework for the NISQ era☆327Updated 3 weeks ago
- Python modules for quantum computing applications and experiments using Cirq. Research using Cirq!☆292Updated this week
- SchNetPack - Deep Neural Networks for Atomistic Systems☆871Updated this week
- Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials☆431Updated 2 weeks ago
- Accurate Neural Network Potential on PyTorch☆514Updated 2 weeks ago
- Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples☆426Updated 2 weeks ago
- QML: Quantum Machine Learning☆207Updated 9 months ago
- Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals☆539Updated 2 years ago
- Pytorch differentiable molecular dynamics☆180Updated 3 years ago
- OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research☆724Updated last year
- Artificial Intelligence Research for Science (AIRS)☆688Updated 3 weeks ago
- Source for The Tensor Network open-source review article☆171Updated 7 months ago
- cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffD…☆301Updated this week
- High-performance quantum systems simulation with JAX (GPU-accelerated & differentiable solvers).☆240Updated 2 weeks ago
- SchNet - a deep learning architecture for quantum chemistry☆264Updated 7 years ago