Alternatives and similar repositories for DPT

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

• bnuliujing / tn-for-unsup-ml
  ☆25Updated 3 years ago
• mingyr / Quantum_TP_Identification_DNN
  The code and supplemented documents for the paper "Quantum topology identification with deep neural networks and quantum walks" that will…
  ☆9Updated 3 years ago
• blondegeek / e3nn_symm_breaking
  Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"
  ☆14Updated 4 years ago
• 1QB-Information-Technologies / COOL
  Controlled Online Optimization Learning (COOL): Finding the Ground State of Spin Hamiltonians with Reinforcement Learning (arXiv:2003.000…
  ☆13Updated 4 years ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 5 years ago
• glivan / tensor_networks_for_probabilistic_modeling
  Probabilistic modelling with tensor networks
  ☆28Updated 5 years ago
• Machine-learning-and-complex-systems / NNCME
  ☆37Updated last year
• lorenzomancini1 / IsingModel2D_MonteCarlo
  Monte Carlo simulation of 2D Ising Model. Final project of the LoCP-A course during 2020/2021 at Unipd
  ☆14Updated 3 years ago
• zhaonat / cluster_monte_carlo
  Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model
  ☆29Updated 7 years ago
• necludov / wqmc
  ☆14Updated last year
• Fanerst / FEM
  ☆25Updated 2 months ago
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆92Updated last week
• n-gao / pesnet
  Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…
  ☆31Updated 11 months ago
• sajen-k / Quantum_Graph_Recurrent_Neural_Network
  Implementation of Quantum Graph Recurrent Neural Network (QGRNN)
  ☆18Updated 4 years ago
• frankschae / A-differentiable-programming-method-for-quantum-control
  ☆31Updated 5 years ago
• YijiawWang / TNMP
  ☆22Updated 7 months ago
• VectorInstitute / VariationalNeuralAnnealing
  A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization p…
  ☆31Updated 2 years ago
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆35Updated last year
• lllewis234 / improved-ml-algorithm
  Code for predicting ground state properties using new ML model.
  ☆11Updated last year
• RSMI-NE / RSMI-NE
  A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
  ☆29Updated 3 months ago
• xwkgch / IsoTensor
  This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)
  ☆19Updated 2 years ago
• panzhang83 / lectures
  ☆18Updated 5 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆32Updated 4 years ago
• Shiling42 / XY-MODEL
  Monte Carlo simulation on 2D XY-model
  ☆25Updated 5 years ago
• xiaotai-yang / NQS_cmi
  Experiements on how conditional mutual information affects the performance of neural quantum states.
  ☆13Updated 7 months 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
• PIQuIL / RydbergGPT
  Our LLM for Rydberg atom physics
  ☆35Updated 11 months ago
• zfgao66 / deeplearning-mpo
  Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO
  ☆32Updated 5 years ago
• CompPhysVienna / MLSummerSchoolVienna2022
  ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"
  ☆37Updated 2 years ago