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 2 years ago
• lukasheinrich / pyhep2020-autodiff-tutorial
  ☆33Updated 4 years ago
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆29Updated 6 months ago
• lukasheinrich / MLHEP-pyprob
  Tutorial Code for MLHEP pyprob
  ☆18Updated 2 years ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 4 years ago
• unixtomato / nmcrg
  Neural Monte Carlo Renormalization Group
  ☆15Updated 4 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• fujiisoup / py3nj
  Wigner's 3J, 6J, 9J symbols for python
  ☆22Updated last month
• martin-marek / mini-hmc-jax
  A simple implementation of Hamiltonian Monte Carlo in JAX.
  ☆21Updated last year
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Updated 2 years ago
• dingo-gw / flow-matching-posterior-estimation
  ☆27Updated last year
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆21Updated last year
• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆27Updated 4 months ago
• li012589 / NeuralRG
  Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …
  ☆78Updated 5 years ago
• JAXtronomy / spexial
  Special functions in Jax
  ☆15Updated 6 months ago
• PerimeterInstitute / Computational-Physics-Course-Winter-2020
  ☆25Updated 5 years ago
• 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". …
  ☆87Updated 3 years ago
• gerkone / egnn-jax
  E(n) Equivariant GNN in jax
  ☆14Updated 2 years ago
• johannbrehmer / higgs_inference
  Code repository for the paper "Constraining Effective Field Theories with Machine Learning"
  ☆21Updated 5 years ago
• lsarra / rmi
  Code to estimate Renormalized Mutual Information in simple settings
  ☆13Updated 4 years ago
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆95Updated 3 months ago
• 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
• refraction-ray / admc
  Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
  ☆23Updated 2 years ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 5 years ago
• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆17Updated 5 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆52Updated 3 years ago
• iaifi / summer-school-2024
  ☆23Updated last year
• wangleiphy / MongeAmpereFlow
  Continuous-time gradient flow for generative modeling and variational inference
  ☆33Updated 6 years ago
• qiyang-ustc / jaxeigs
  Rescure useful code in TensorNetwork by google for further personal usage.
  ☆12Updated 8 months ago