Alternatives and similar repositories for summer-school-2022

Users that are interested in summer-school-2022 are comparing it to the libraries listed below

• johannbrehmer / pointers
  Things that make me feel productive
  ☆15Updated 3 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆30Updated 5 years ago
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆29Updated last month
• gerkone / egnn-jax
  E(n) Equivariant GNN in jax
  ☆14Updated 2 years ago
• fujiisoup / py3nj
  Wigner's 3J, 6J, 9J symbols for python
  ☆22Updated 3 months ago
• lukasheinrich / pyhep2020-autodiff-tutorial
  ☆33Updated 5 years ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 4 years ago
• iaifi / summer-school-2023
  ☆22Updated 2 years ago
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆21Updated last year
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• maxxxzdn / jax-geometric
  Implementation of various equivariant models in JAX
  ☆12Updated last year
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆26Updated 2 years ago
• lukasheinrich / MLHEP-pyprob
  Tutorial Code for MLHEP pyprob
  ☆18Updated 2 years ago
• qiyang-ustc / jaxeigs
  Rescure useful code in TensorNetwork by google for further personal usage.
  ☆12Updated 10 months ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆53Updated 3 years ago
• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆18Updated 5 years ago
• dingo-gw / flow-matching-posterior-estimation
  ☆28Updated last year
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆22Updated last year
• hongyehu / RG-Flow
  This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". …
  ☆89Updated 3 years ago
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Updated 3 years ago
• PerimeterInstitute / Computational-Physics-Course-Winter-2020
  ☆25Updated 5 years ago
• iaifi / summer-school-2024
  ☆23Updated last year
• refraction-ray / admc
  Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
  ☆24Updated 2 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
• unixtomato / nmcrg
  Neural Monte Carlo Renormalization Group
  ☆15Updated 5 years ago
• rbondesan / CanonicalFlows
  Canonical normalizing flows
  ☆10Updated 6 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆85Updated last year
• RehMoritz / vmc_pde
  Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…
  ☆10Updated 3 years ago
• Pablo-Lemos / GGNS
  Gradient Based Nested Sampling
  ☆20Updated last year
• ClarkResearchGroup / cgs-vmc
  Computational graph states for variational monte carlo
  ☆17Updated 6 years ago