Alternatives and similar repositories for py-nqs

Users that are interested in py-nqs are comparing it to the libraries listed below

• bartolsthoorn / NQS-numpy
  Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…
  ☆32Updated 7 years ago
• tomdbar / naqs-for-quantum-chemistry
  Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".
  ☆40Updated 3 years ago
• XanaduAI / GradDFT
  GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine l…
  ☆101Updated last year
• Shmoo137 / SummerSchool2021_MLinQuantum
  The repository contains Jupyter notebooks for hands-on tutorials organized within the Summer School: Machine Learning for Quantum Physics…
  ☆40Updated last month
• WagnerGroup / pyqmc
  Python library for real space quantum Monte Carlo
  ☆92Updated this week
• NLESC-JCER / QMCTorch
  Pytorch Implementation of Real Space Quantum Monte Carlo Simulations of Molecular Systems
  ☆28Updated last month
• bytedance / DeepSolid
  A library combining solid quantum Monte Carlo and neural network.
  ☆41Updated 7 months ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆51Updated 3 years ago
• lin-lin / Quantum290
  290 seminar for 2020 fall - 2021 summer
  ☆33Updated last week
• QMCPACK / qmc_workshop_2021
  Files for QMC Workshop 2021
  ☆57Updated 3 years ago
• lllewis234 / improved-ml-algorithm
  Code for predicting ground state properties using new ML model.
  ☆11Updated last year
• evangelistalab / qforte
  ☆53Updated 10 months ago
• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆26Updated 2 months ago
• APRIQuOt / VMC_with_LPTFs
  Code accompanying "Large Language Models for Variational Monte Carlo"
  ☆9Updated last year
• CompPhysVienna / MLSummerSchoolVienna2022
  ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"
  ☆39Updated 2 years ago
• mdsunivie / deeperwin
  DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…
  ☆57Updated 2 months ago
• lin-lin / 2018Fall_275
  Mathematical Introduction to Electronic Structure Theory
  ☆46Updated 6 years ago
• ClarkResearchGroup / cgs-vmc
  Computational graph states for variational monte carlo
  ☆16Updated 5 years ago
• tencent-quantum-lab / TenCirChem
  Quantum computational chemistry based on TensorCircuit
  ☆65Updated 7 months ago
• BorjaRequena / VMC_introduction
  Introduction to quantum Monte Carlo. From the foundations to state-of-the-art Restricted Boltzmann Machine ansatz.
  ☆19Updated 4 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆78Updated last year
• diffqc / dqc
  Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)
  ☆113Updated 3 years ago
• fishjojo / pyscfad
  PySCF with auto-differentiation
  ☆81Updated 2 weeks ago
• aspuru-guzik-group / DiffiQult
  A fully autodifferentiable and variational HF
  ☆42Updated 5 years ago
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆35Updated last year
• AustenLamacraft / QuaRL
  Quantum ground states from Reinforcement Learning
  ☆16Updated 5 years ago
• Shiling42 / XY-MODEL
  Monte Carlo simulation on 2D XY-model
  ☆24Updated 5 years ago
• HUJI-Deep / FlowKet
  A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
  ☆38Updated 4 years ago
• fermiflow / hydrogen
  variational free-energy of dense hydrogen
  ☆12Updated last year
• tehruhn / bofin
  BoFiN HEOM Python version.
  ☆17Updated last year