Alternatives and similar repositories for hierarchical-variational-models-physics

Users that are interested in hierarchical-variational-models-physics are comparing it to the libraries listed below

• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Updated 2 years ago
• refraction-ray / admc
  Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
  ☆23Updated 2 years ago
• RSMI-NE / RSMI-NE
  A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
  ☆29Updated 3 months ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 4 years ago
• eepperly / XTrace
  Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"
  ☆14Updated 2 years ago
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆29Updated 3 months ago
• BrianCoyle / IsingBornMachine
  Implementation of Quantum Ising Born Machine
  ☆19Updated 5 years ago
• mcbal / afem
  Implementation of approximate free-energy minimization in PyTorch
  ☆19Updated 3 years ago
• vardigroup / TensorOrder
  A tool for weighted model counting through tensor network contraction
  ☆21Updated 3 years ago
• lsarra / rmi
  Code to estimate Renormalized Mutual Information in simple settings
  ☆13Updated 4 years ago
• adamhaber / JaxEnt
  Jax-based MaxEnt
  ☆18Updated 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
• wangleiphy / MongeAmpereFlow
  Continuous-time gradient flow for generative modeling and variational inference
  ☆31Updated 6 years ago
• unixtomato / nmcrg
  Neural Monte Carlo Renormalization Group
  ☆15Updated 4 years ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 5 years ago
• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆26Updated last month
• ClarkResearchGroup / cgs-vmc
  Computational graph states for variational monte carlo
  ☆16Updated 5 years 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
• bnuliujing / tn-for-unsup-ml
  ☆25Updated 3 years ago
• eepperly / Randomly-Pivoted-Cholesky
  Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"
  ☆28Updated 7 months ago
• greydanus / psi0nn
  A neural network quantum ground state solver
  ☆26Updated 8 years ago
• marekrams / tnac4o
  Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.
  ☆11Updated 3 years ago
• yzhwang / jax-multi-gpu-resnet50-example
  An example showing how to use jax to train resnet50 on multi-node multi-GPU
  ☆20Updated 2 years ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆24Updated 2 years ago
• TensorBFS / TropicalTensors.jl
  Tropical tensor network for spin glasses
  ☆55Updated 5 months ago
• deepchem / jaxchem
  JAXChem is a JAX-based deep learning library for complex and versatile chemical modeling
  ☆79Updated 4 years ago
• glivan / tensor_networks_for_probabilistic_modeling
  Probabilistic modelling with tensor networks
  ☆28Updated 5 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• rmnfournier / ACANN
  Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)
  ☆20Updated 5 years ago