Alternatives and similar repositories for marburg

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

• iamc / ML-CM-2019
  Machine Learning in Condensed Matter Physics 2019 course repository
  ☆61Updated 5 years ago
• QuantumBFS / SSSS
  "Deep Learning and Quantum Programming" Spring School @ Song Shan Lake
  ☆177Updated 4 years ago
• wangleiphy / tensorgrad
  Differentiable Programming Tensor Networks
  ☆143Updated 4 years ago
• wangleiphy / DL4CSRC
  Hitchhiker's Guide to Deep Learning for Computational Scientists
  ☆36Updated 6 years ago
• amilsted / evoMPS
  An implementation of the time dependent variational principle for matrix product states
  ☆72Updated 3 years ago
• lin-lin / 2018Fall_275
  Mathematical Introduction to Electronic Structure Theory
  ☆46Updated 6 years ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆51Updated 3 years ago
• congzlwag / UnsupGenModbyMPS
  code for Unsupervised Generative Modeling using Matrix Product States
  ☆46Updated 2 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆78Updated last year
• iglpdc / dmrg101
  Python implementation of the DMRG algorithm for the Taipei DMRG Winter School
  ☆57Updated 12 years ago
• Shiling42 / XY-MODEL
  Monte Carlo simulation on 2D XY-model
  ☆25Updated 6 years ago
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆94Updated 2 months 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
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 5 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
• jhauschild / lecture_comp_methods
  Tutorials for the lecture "Computational Methods in Many-Body Physics"
  ☆72Updated 5 years ago
• dsuess / mpnum
  Matrix Product Representation library for Python
  ☆55Updated 3 years ago
• greydanus / psi0nn
  A neural network quantum ground state solver
  ☆26Updated 8 years ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆65Updated 5 months ago
• etano / dmrgpy
  Density Matrix Renormalization Group (DMRG) in Python
  ☆27Updated 13 years ago
• PIQuIL / QuLAPENO
  Tutorials for a mini course in machine learning and quantum physics
  ☆42Updated 6 years ago
• ryuikaneko / exactly_solvable_models
  ☆17Updated 3 years ago
• GregDMeyer / dynamite
  Fast quantum evolution and eigensolving using Krylov subspace methods via the PETSc/SLEPc libraries.
  ☆35Updated 9 months ago
• mhauru / ncon
  Tensor network contraction function for Python 3.
  ☆48Updated 2 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆61Updated 2 years ago
• li012589 / NeuralRG
  Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …
  ☆78Updated 5 years ago
• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆36Updated 4 years ago
• hadsed / pathintegral-qmc
  A path-integral quantum Monte Carlo code for simulating quantum annealing with arbitrary Ising Hamiltonians.
  ☆48Updated 8 years ago
• lin-lin / Quantum290
  290 seminar for 2020 fall - 2021 summer
  ☆35Updated last week