Alternatives and similar repositories for jaqmc:

Users that are interested in jaqmc are comparing it to the libraries listed below

• bytedance / DeepSolid
  A library combining solid quantum Monte Carlo and neural network.
  ☆40Updated 4 months ago
• tomdbar / naqs-for-quantum-chemistry
  Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".
  ☆41Updated 2 years ago
• XanaduAI / GradDFT
  GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine l…
  ☆86Updated last year
• 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…
  ☆54Updated 3 months ago
• WagnerGroup / pyqmc
  Python library for real space quantum Monte Carlo
  ☆88Updated 2 weeks ago
• fishjojo / pyscfad
  PySCF with auto-differentiation
  ☆79Updated 3 weeks ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆61Updated last month
• YWolfeee / lapjax
  A JAX based package designed for efficient second order operators (e.g., laplacian) computation.
  ☆71Updated last year
• n-gao / pesnet
  Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…
  ☆30Updated 9 months ago
• tencent-quantum-lab / TenCirChem
  Quantum computational chemistry based on TensorCircuit
  ☆64Updated 4 months ago
• varbench / varbench
  ☆45Updated 5 months ago
• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆26Updated 3 weeks ago
• Shiling42 / XY-MODEL
  Monte Carlo simulation on 2D XY-model
  ☆24Updated 5 years ago
• sail-sg / jax_xc
  Exchange correlation functionals translated from libxc to jax
  ☆45Updated 2 weeks ago
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆29Updated last month
• shuaigroup / Renormalizer
  Quantum dynamics package based on tensor network states
  ☆60Updated 2 weeks ago
• bytedance / LapNet
  Efficient and Accurate Neural-Network Ansatz for Quantum Monte Carlo
  ☆62Updated 4 months ago
• block-hczhai / block2-preview
  Efficient parallel quantum chemistry DMRG in MPO formalism
  ☆77Updated this week
• lin-lin / Quantum290
  290 seminar for 2020 fall - 2021 summer
  ☆28Updated 3 weeks ago
• wangleiphy / ml4p
  Machine learning for physicists
  ☆121Updated last year
• lin-lin / 2018Fall_275
  Mathematical Introduction to Electronic Structure Theory
  ☆45Updated 6 years ago
• JoonhoLee-Group / ipie
  ipie stands for Intelligent Python-based Imaginary-time Evolution with a focus on simplicity and speed.
  ☆56Updated 2 weeks ago
• deepmodeling / CrystalFormer
  Space Group Informed Transformer for Crystalline Materials Generation
  ☆78Updated this week
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆50Updated 3 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆77Updated 10 months ago
• evangelistalab / qforte
  ☆51Updated 7 months ago
• block-hczhai / pyblock3-preview
  pyblock3: an efficient python block-sparse tensor library
  ☆26Updated 10 months ago
• CompPhysVienna / MLSummerSchoolVienna2022
  ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"
  ☆36Updated 2 years ago
• diffqc / dqc
  Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)
  ☆110Updated 3 years ago
• deepmodeling / DeePTB
  DeePTB: A deep learning package for tight-binding approach with ab initio accuracy.
  ☆73Updated this week