Alternatives and similar repositories for fwdlap:

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

• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆26Updated this week
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆32Updated 2 years ago
• microsoft / folx
  Implementation of Forward Laplacian algorithm in JAX
  ☆60Updated 2 weeks ago
• fermiflow / hydrogen
  variational free-energy of dense hydrogen
  ☆12Updated last year
• lin-lin / 2018Fall_275
  Mathematical Introduction to Electronic Structure Theory
  ☆45Updated 6 years ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 3 years ago
• numericalEFT / FeynmanDiagram.jl
  Computational graph representation of multiloop Feynman diagrams
  ☆47Updated 4 months ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆18Updated 8 months ago
• bytedance / jaqmc
  JAX accelerated Quantum Monte Carlo
  ☆72Updated this week
• refraction-ray / admc
  Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
  ☆22Updated last year
• CCQC / Quax
  Arbitrary-order derivatives of popular electronic structure methods, such as Hartree-Fock and coupled cluster theory.
  ☆63Updated 6 months ago
• BoothGroup / GPSKet
  GPS plugin for NetKet (www.netket.org), introducing new models, optimizers and Fermionic functionality.
  ☆16Updated last week
• CompPhysVienna / MLSummerSchoolVienna2022
  ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"
  ☆35Updated 2 years ago
• fermiflow / CoulombGas
  Finite-temperature variational Monte Carlo calculation of uniform electron gas using neural canonical transformation.
  ☆15Updated last year
• tomdbar / naqs-for-quantum-chemistry
  Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".
  ☆41Updated 2 years ago
• CRC183-summer-school / school_2021
  This is the repository for the CRC 183 summer school "Machine Learning in Condensed Matter Physics".
  ☆28Updated 3 years ago
• fujiisoup / py3nj
  Wigner's 3J, 6J, 9J symbols for python
  ☆20Updated 7 months ago
• ITensor / ITensorGaussianMPSArchived.jl
  A package for creating a matrix product state (MPS) from a free fermion (Gaussian) state.
  ☆10Updated 3 years ago
• BITMAPdds / NeuralFRG
  ☆23Updated 2 years ago
• MelkoCollective / ICTP-SAIFR-MLPhysics
  Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil
  ☆20Updated 7 years ago
• rmnfournier / ACANN
  Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)
  ☆20Updated 5 years ago
• Zhouquan-Wan / SVD_autodiff
  ☆16Updated 3 years ago
• varbench / varbench
  ☆45Updated 4 months ago
• Quantum-Many-Body / SpinWaveTheory.jl
  Julia package for the spin wave theory of magnetically ordered quantum spin systems.
  ☆9Updated 2 months ago
• n-gao / pesnet
  Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…
  ☆30Updated 8 months ago
• niklasschmitz / ad-kernels
  Code for the paper "Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields"
  ☆12Updated last year
• wangleiphy / TRG
  Differentiable Tensor Renormalization Group for square Ising
  ☆17Updated 6 years ago
• unixtomato / nmcrg
  Neural Monte Carlo Renormalization Group
  ☆15Updated 4 years ago
• bytedance / netobs
  Calculate observables from neural network-based VMC (NN-VMC).
  ☆12Updated last week