Alternatives and similar repositories for HutchPlusPlus

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

• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆18Updated 5 years ago
• eepperly / XTrace
  Code for the paper "XTrace: Making the most of every sample in stochastic trace estimation"
  ☆16Updated 2 years ago
• adamhaber / JaxEnt
  Jax-based MaxEnt
  ☆17Updated 5 years ago
• yzhwang / jax-multi-gpu-resnet50-example
  An example showing how to use jax to train resnet50 on multi-node multi-GPU
  ☆20Updated 3 years ago
• f-dangel / hbp
  Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations
  ☆21Updated 2 years ago
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆32Updated 5 years ago
• j-towns / fastar
  ☆16Updated 5 months ago
• vardigroup / TensorOrder
  A tool for weighted model counting through tensor network contraction
  ☆21Updated 4 years ago
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Updated 3 years ago
• jgorham / SteinDiscrepancy.jl
  Practical tools for quantifying how well a sample approximates a target distribution
  ☆28Updated 5 years ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆25Updated 3 years ago
• BrianCoyle / IsingBornMachine
  Implementation of Quantum Ising Born Machine
  ☆19Updated 5 years ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• gehring / fax
  ☆80Updated 4 years ago
• duvenaud / jaxde
  Prototypes of differentiable differential equation solvers in JAX.
  ☆27Updated 5 years ago
• Roger-luo / PIML
  lecture materials of the ML for Physics course 2021 in Perimeter Institute
  ☆21Updated 4 years ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆75Updated 2 weeks ago
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆29Updated 2 months 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 4 years ago
• lsarra / rmi
  Code to estimate Renormalized Mutual Information in simple settings
  ☆13Updated 4 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆85Updated last year
• wangleiphy / DL4CSRC
  Hitchhiker's Guide to Deep Learning for Computational Scientists
  ☆36Updated 6 years ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 4 years ago
• necludov / iMCMC
  ☆22Updated 5 years ago
• chaserileyroberts / TensorNetsForML
  Code for the paper "Tensor Networks for Maching Learning"
  ☆17Updated 6 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆30Updated 5 years ago
• asteroidhouse / INN-exploding-inverses
  Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347
  ☆30Updated 5 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆28Updated 7 years ago
• Nuclear-Physics-with-Machine-Learning / MLQM
  Testing using AI and ML techniques to solve quantum systems
  ☆15Updated 3 years ago