Alternatives and similar repositories for normalising-flows-4-reinforcement-learning

Users that are interested in normalising-flows-4-reinforcement-learning are comparing it to the libraries listed below

• ranshiju / BayesianTN

  View on GitHub
  Bayesian tensor network
  ☆21Jan 27, 2020Updated 6 years ago
• rbondesan / CanonicalFlows

  View on GitHub
  Canonical normalizing flows
  ☆10Apr 30, 2019Updated 6 years ago
• Nuclear-Physics-with-Machine-Learning / MLQM

  View on GitHub
  Testing using AI and ML techniques to solve quantum systems
  ☆16Aug 22, 2022Updated 3 years ago
• hari-sikchi / DVL

  View on GitHub
  A Dual-RL method DVL: Dual-V Learning for offline and online reinforcement learning
  ☆15Oct 22, 2023Updated 2 years ago
• SkafteNicki / cuda_expm

  View on GitHub
  Matrix exponential in cuda for pytorch and tensorflow
  ☆17Nov 26, 2018Updated 7 years ago
• Zhouquan-Wan / SVD_autodiff

  View on GitHub
  ☆18Nov 25, 2021Updated 4 years ago
• ho-oto / TensorRules.jl

  View on GitHub
  Macros to define custom adjoints for TensorOperations.jl
  ☆14Aug 17, 2021Updated 4 years ago
• zhendongli2008 / fPEPS

  View on GitHub
  fermionic Projected Entangled Pairs States (fPEPS)
  ☆16Oct 25, 2018Updated 7 years ago
• unixtomato / nmcrg

  View on GitHub
  Neural Monte Carlo Renormalization Group
  ☆15Oct 12, 2020Updated 5 years ago
• chaserileyroberts / TensorNetsForML

  View on GitHub
  Code for the paper "Tensor Networks for Maching Learning"
  ☆17Nov 7, 2019Updated 6 years ago
• vardigroup / TensorOrder

  View on GitHub
  A tool for weighted model counting through tensor network contraction
  ☆21Nov 13, 2021Updated 4 years ago
• sylvialee12 / SelfLearning-MonteCarlo

  View on GitHub
  ☆19May 18, 2017Updated 8 years ago
• refraction-ray / admc

  View on GitHub
  Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
  ☆24Mar 24, 2023Updated 2 years ago
• MelkoCollective / ICTP-SAIFR-MLPhysics

  View on GitHub
  Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil
  ☆21Sep 28, 2017Updated 8 years ago
• TensorBFS / dTRG

  View on GitHub
  ☆22Dec 6, 2019Updated 6 years ago
• joschu / jax-exp

  View on GitHub
  ☆24Feb 3, 2019Updated 7 years ago
• QMagen / PyQMagen

  View on GitHub
  A method which combines quantum many-body calculation and unbiased optimizers to automatically learn effective Hamiltonians for quantum m…
  ☆24Dec 15, 2021Updated 4 years ago
• mbilos / stribor

  View on GitHub
  Library for normalizing flows and neural flows.
  ☆26May 26, 2022Updated 3 years ago
• mhauru / abeliantensors

  View on GitHub
  A library for Abelian symmetry preserving tensors in Python 3
  ☆25Apr 27, 2021Updated 4 years ago
• sscardapane / hydra-tutorial

  View on GitHub
  Companion code for a tutorial on using Hydra.
  ☆33May 24, 2021Updated 4 years ago
• jeffminlin / vmcnet

  View on GitHub
  Flexible, general-purpose VMC framework, built on JAX.
  ☆29Nov 25, 2025Updated 2 months ago
• li012589 / NeuralWavelet

  View on GitHub
  Implementation for the paper "Learning Non-linear Wavelet Transformation via Normalizing Flow"(arXiv:2101.11306)
  ☆30Jan 28, 2021Updated 5 years ago
• yastn / yastn

  View on GitHub
  Yet another symmetric tensor network
  ☆42Updated this week
• EmptyJackson / unifloral

  View on GitHub
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆195Dec 19, 2025Updated last month
• danieljtait / jax_xla_adventures

  View on GitHub
  Dive into Jax, Flax, XLA and C++
  ☆32Apr 1, 2020Updated 5 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers

  View on GitHub
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆26Dec 21, 2023Updated 2 years ago
• gcucurull / jax-gcn

  View on GitHub
  Graph Convolutional Networks in JAX
  ☆33Jan 3, 2021Updated 5 years ago
• chongyi-zheng / td_infonce

  View on GitHub
  Implementations of Temporal Difference InfoNCE (TD InfoNCE)
  ☆33Nov 13, 2023Updated 2 years ago
• BY571 / Implicit-Q-Learning

  View on GitHub
  PyTorch implementation of the implicit Q-learning algorithm (IQL)
  ☆44Dec 17, 2021Updated 4 years ago
• CRC183-summer-school / school_2021

  View on GitHub
  This is the repository for the CRC 183 summer school "Machine Learning in Condensed Matter Physics".
  ☆27Jul 18, 2021Updated 4 years ago
• asteroidhouse / INN-exploding-inverses

  View on GitHub
  Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347
  ☆30Aug 29, 2020Updated 5 years ago
• anabatsh / PROTES

  View on GitHub
  Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…
  ☆38Apr 29, 2025Updated 9 months ago
• Gilt-TNR / Gilt-TNR

  View on GitHub
  An implementation of the Gilt-TNR tensor network renormalization algorithm for square and cubical lattices.
  ☆34Feb 14, 2020Updated 5 years ago
• lukasheinrich / pyhep2020-autodiff-tutorial

  View on GitHub
  ☆34Oct 5, 2020Updated 5 years ago
• gregversteeg / esh_dynamics

  View on GitHub
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Nov 5, 2021Updated 4 years ago
• li012589 / neuralCT

  View on GitHub
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆32Mar 9, 2020Updated 5 years ago
• buwantaiji / FermiFlow

  View on GitHub
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Oct 23, 2022Updated 3 years ago
• scifm / summer-school-2024

  View on GitHub
  ☆39Jul 26, 2024Updated last year
• stefan-woerner / qiskit_tutorial

  View on GitHub
  Simple tutorial to get familiar with how to program quantum computers using Qiskit
  ☆11Sep 9, 2019Updated 6 years ago