Alternatives and similar repositories for marburg:

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

• wangleiphy / tensorgrad
  Differentiable Programming Tensor Networks
  ☆141Updated 3 years ago
• wangleiphy / DL4CSRC
  Hitchhiker's Guide to Deep Learning for Computational Scientists
  ☆35Updated 6 years ago
• congzlwag / UnsupGenModbyMPS
  code for Unsupervised Generative Modeling using Matrix Product States
  ☆42Updated 2 years ago
• QuantumBFS / SSSS
  "Deep Learning and Quantum Programming" Spring School @ Song Shan Lake
  ☆177Updated 4 years ago
• HUJI-Deep / FlowKet
  A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
  ☆37Updated 4 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆77Updated 10 months ago
• hadsed / pathintegral-qmc
  A path-integral quantum Monte Carlo code for simulating quantum annealing with arbitrary Ising Hamiltonians.
  ☆46Updated 7 years ago
• iamc / ML-CM-2019
  Machine Learning in Condensed Matter Physics 2019 course repository
  ☆61Updated 5 years ago
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆92Updated 8 months ago
• emstoudenmire / parallelDMRG
  Real-space parallel density matrix renormalization group (DMRG) based on ITensor
  ☆18Updated 4 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
• amilsted / evoMPS
  An implementation of the time dependent variational principle for matrix product states
  ☆70Updated 3 years ago
• etano / dmrgpy
  Density Matrix Renormalization Group (DMRG) in Python
  ☆27Updated 13 years ago
• 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
• lin-lin / 2018Fall_275
  Mathematical Introduction to Electronic Structure Theory
  ☆45Updated 6 years ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆61Updated last month
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• mhauru / ncon
  Tensor network contraction function for Python 3.
  ☆47Updated 2 years ago
• greydanus / psi0nn
  A neural network quantum ground state solver
  ☆26Updated 7 years ago
• varbench / varbench
  ☆45Updated 5 months ago
• GTorlai / CDL_RBM_Tutorial
  Tutorial on machine learning many-body physics with Boltzmann machines
  ☆15Updated 7 years ago
• iglpdc / dmrg101_tutorial
  Tutorial for the Taipei Density Matrix Renormalization Group School
  ☆16Updated 12 years ago
• PIQuIL / QuLAPENO
  Tutorials for a mini course in machine learning and quantum physics
  ☆41Updated 5 years ago
• kafischer / neural-quantum-states
  Numerically represent quantum states with Restricted Boltzmann Machines
  ☆25Updated 6 years ago
• jhauschild / lecture_comp_methods
  Tutorials for the lecture "Computational Methods in Many-Body Physics"
  ☆68Updated 5 years ago
• Shiling42 / XY-MODEL
  Monte Carlo simulation on 2D XY-model
  ☆24Updated 5 years ago
• li012589 / NeuralRG
  Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …
  ☆79Updated 5 years ago
• panzhang83 / lectures
  ☆18Updated 5 years ago
• panzhang83 / catn
  Contracting Arbitrary Tensor Networks
  ☆40Updated 5 years ago
• cmendl / pytenet
  Python implementation of quantum tensor network operations and simulations: matrix product states and operators, TDVP time evolution, sup…
  ☆62Updated last month