Alternatives and similar repositories for CanonicalFlows

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

• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆30Updated 5 years ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 5 years ago
• BrianCoyle / IsingBornMachine
  Implementation of Quantum Ising Born Machine
  ☆19Updated 5 years ago
• iaifi / summer-school-2022
  ☆16Updated 3 years ago
• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆18Updated 5 years ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 4 years ago
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Updated 2 years ago
• lsarra / rmi
  Code to estimate Renormalized Mutual Information in simple settings
  ☆13Updated 4 years ago
• refraction-ray / admc
  Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
  ☆24Updated 2 years ago
• vardigroup / TensorOrder
  A tool for weighted model counting through tensor network contraction
  ☆21Updated 3 years ago
• icme / cme250Q-quantum-computing
  CME250Q: Introduction to quantum computing and quantum algorithms
  ☆15Updated 5 years ago
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆32Updated 5 years ago
• li012589 / NeuralRG
  Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …
  ☆78Updated 6 years ago
• MelkoCollective / ICTP-SAIFR-MLPhysics
  Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil
  ☆20Updated 8 years ago
• sylvialee12 / SelfLearning-MonteCarlo
  ☆19Updated 8 years ago
• glivan / tensor_networks_for_probabilistic_modeling
  Probabilistic modelling with tensor networks
  ☆29Updated 5 years ago
• TunnelTechnologies / dmrg-exact
  ☆14Updated 6 years ago
• carrasqu / QuantumMachineLearning
  Fully connected neural nets for supervised learning DQMC data
  ☆12Updated 9 years ago
• wangleiphy / DL4CSRC
  Hitchhiker's Guide to Deep Learning for Computational Scientists
  ☆36Updated 6 years ago
• aspuru-guzik-group / Meta-VQE
  Meta-VQE data and examples repository
  ☆11Updated 4 years ago
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆33Updated 4 years ago
• zhaonat / cluster_monte_carlo
  Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model
  ☆30Updated 7 years ago
• marekrams / tnac4o
  Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.
  ☆11Updated 4 years ago
• frankschae / A-differentiable-programming-method-for-quantum-control
  ☆31Updated 5 years ago
• Roger-luo / PIML
  lecture materials of the ML for Physics course 2021 in Perimeter Institute
  ☆21Updated 4 years ago
• MichaelBroughton / Quantum-Backpropagation
  Simple demo showcasing baseline logic for BaQProp to learn "quantum data" [outdated]
  ☆20Updated 7 years ago
• unixtomato / nmcrg
  Neural Monte Carlo Renormalization Group
  ☆15Updated 5 years ago
• wangleiphy / MongeAmpereFlow
  Continuous-time gradient flow for generative modeling and variational inference
  ☆33Updated 7 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• carrasqu / IsingGaugeTensorFlow
  Convolutional neural net to classify states of the classical Ising gauge theory (TensorFlow)
  ☆10Updated 9 years ago