Alternatives and similar repositories for tensor_networks_for_probabilistic_modeling

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

• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 5 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆64Updated 2 years ago
• bnuliujing / tn-for-unsup-ml
  ☆27Updated 4 years ago
• GiggleLiu / QuantumCircuitBornMachine
  gradient based training of Quantum Circuit Born Machine
  ☆45Updated 6 years ago
• congzlwag / UnsupGenModbyMPS
  code for Unsupervised Generative Modeling using Matrix Product States
  ☆46Updated 2 years ago
• refraction-ray / tensorcircuit
  Quantum circuit on top of tensor network. This version is archived, latest open source version release is at https://github.com/tensorcir…
  ☆29Updated last year
• chaserileyroberts / TensorNetsForML
  Code for the paper "Tensor Networks for Maching Learning"
  ☆17Updated 6 years ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆52Updated 6 years ago
• panzhang83 / catn
  Contracting Arbitrary Tensor Networks
  ☆43Updated 6 years ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆31Updated 5 years ago
• mariomotta / QITE
  ☆40Updated 6 years ago
• greydanus / psi0nn
  A neural network quantum ground state solver
  ☆26Updated 8 years ago
• unixtomato / nmcrg
  Neural Monte Carlo Renormalization Group
  ☆15Updated 5 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆79Updated last year
• jemisjoky / TorchMPS
  PyTorch toolbox for matrix product state models
  ☆164Updated last year
• HUJI-Deep / FlowKet
  A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
  ☆38Updated 5 years ago
• TrMPS / MPS-MNIST
  An implementation of "Supervised Learning with Quantum-Inspired Tensor Networks" using TensorFlow
  ☆11Updated 7 years ago
• GTorlai / CDL_RBM_Tutorial
  Tutorial on machine learning many-body physics with Boltzmann machines
  ☆15Updated 8 years ago
• qgrad / qgrad
  A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.
  ☆44Updated 3 years ago
• mhauru / ncon
  Tensor network contraction function for Python 3.
  ☆50Updated 2 years ago
• CDL-Quantum / CohortProject_2020
  Open collaboration of the Quantum Bootcamp 2020
  ☆34Updated 5 years ago
• emstoudenmire / TNML
  Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605…
  ☆163Updated 6 years ago
• xwkgch / IsoTensor
  This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)
  ☆20Updated 3 years ago
• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆37Updated 4 years ago
• zhendongli2008 / fPEPS
  fermionic Projected Entangled Pairs States (fPEPS)
  ☆16Updated 7 years ago
• supremacyfuture / VQC
  variational quantum circuit simulator in Julia, under GPLv3
  ☆32Updated 5 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆53Updated 3 years ago
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆32Updated 3 years ago
• txhaug / nisq-sdp
  Program to calculate SDPs using Noisy intermediate scale quantum (NISQ) computers.
  ☆12Updated 10 months ago