Alternatives and similar repositories for marburg

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

• wangleiphy / DL4CSRC
  Hitchhiker's Guide to Deep Learning for Computational Scientists
  ☆36Updated 6 years ago
• emstoudenmire / parallelDMRG
  Real-space parallel density matrix renormalization group (DMRG) based on ITensor
  ☆18Updated 4 years ago
• QuantumBFS / SSSS
  "Deep Learning and Quantum Programming" Spring School @ Song Shan Lake
  ☆176Updated 4 years ago
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆91Updated 3 weeks ago
• iamc / ML-CM-2019
  Machine Learning in Condensed Matter Physics 2019 course repository
  ☆61Updated 5 years ago
• greydanus / psi0nn
  A neural network quantum ground state solver
  ☆26Updated 8 years ago
• lin-lin / 2018Fall_275
  Mathematical Introduction to Electronic Structure Theory
  ☆46Updated 6 years ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆65Updated 3 months ago
• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆35Updated 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
• etano / dmrgpy
  Density Matrix Renormalization Group (DMRG) in Python
  ☆27Updated 13 years ago
• congzlwag / UnsupGenModbyMPS
  code for Unsupervised Generative Modeling using Matrix Product States
  ☆44Updated 2 years ago
• jhauschild / lecture_comp_methods
  Tutorials for the lecture "Computational Methods in Many-Body Physics"
  ☆70Updated 5 years ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆78Updated last year
• guygurari / syk
  Numerical simulation of the Sachdev-Ye-Kitaev fermion model
  ☆18Updated 5 years ago
• QPIpattern / phase-of-matter-by-machine-learning
  Unsupervised machine learning of phase of matter in physics
  ☆11Updated 8 years ago
• amilsted / evoMPS
  An implementation of the time dependent variational principle for matrix product states
  ☆71Updated 3 years ago
• hadsed / pathintegral-qmc
  A path-integral quantum Monte Carlo code for simulating quantum annealing with arbitrary Ising Hamiltonians.
  ☆47Updated 8 years ago
• iglpdc / dmrg101_tutorial
  Tutorial for the Taipei Density Matrix Renormalization Group School
  ☆17Updated 12 years ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 5 years ago
• physicsml / physicsml-archive
  PhysicsML Blog
  ☆28Updated 4 years ago
• PIQuIL / QuLAPENO
  Tutorials for a mini course in machine learning and quantum physics
  ☆41Updated 6 years ago
• wangleiphy / TRG
  Differentiable Tensor Renormalization Group for square Ising
  ☆17Updated 6 years ago
• ryuikaneko / exactly_solvable_models
  ☆17Updated 3 years ago
• dsuess / mpnum
  Matrix Product Representation library for Python
  ☆55Updated 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
• wangleiphy / tensorgrad
  Differentiable Programming Tensor Networks
  ☆143Updated 4 years ago
• GregDMeyer / dynamite
  Fast quantum evolution and eigensolving using Krylov subspace methods via the PETSc/SLEPc libraries.
  ☆35Updated 8 months ago
• panzhang83 / catn
  Contracting Arbitrary Tensor Networks
  ☆40Updated 5 years ago