Alternatives and similar repositories for rsmf

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

• jcmgray / autoray
  Abstract your array operations.
  ☆153Updated this week
• madminer-tool / madminer
  Machine learning–based inference toolkit for particle physics
  ☆87Updated 8 months ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year
• DifferentiableUniverseInitiative / jax_cosmo
  A differentiable cosmology library in JAX
  ☆208Updated 2 weeks ago
• gradhep / neos
  Upstream optimisation for downstream inference
  ☆69Updated 3 weeks 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". …
  ☆86Updated 2 years ago
• drckf / mlreview_notebooks
  Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"
  ☆199Updated 4 years ago
• Emergent-Behaviors-in-Biology / mlreview_notebooks
  Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."
  ☆69Updated 5 years ago
• eth-nn-physics / nn_physical_concepts
  ☆177Updated 2 years ago
• PIQuIL / QuCumber
  Neural Network Many-Body Wavefunction Reconstruction
  ☆175Updated last week
• johannbrehmer / higgs_inference
  Code repository for the paper "Constraining Effective Field Theories with Machine Learning"
  ☆21Updated 5 years ago
• iaifi / summer-school-2022
  ☆16Updated 2 years ago
• johannbrehmer / pointers
  Things that make me feel productive
  ☆15Updated 2 years ago
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆93Updated last month
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆452Updated 2 weeks ago
• glouppe / talk-template
  Template for talks in remark+KaTeX.
  ☆25Updated 4 years ago
• GiggleLiu / marburg
  physics meets neural networks
  ☆98Updated 6 years 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
• scikit-hep / pyhf
  pure-Python HistFactory implementation with tensors and autodiff
  ☆288Updated last week
• dynamiqs / dynamiqs
  High-performance quantum systems simulation with JAX (GPU-accelerated & differentiable solvers).
  ☆231Updated this week
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆206Updated 7 months ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆247Updated 2 weeks ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆130Updated 10 months ago
• lukasheinrich / pyhep2020-autodiff-tutorial
  ☆32Updated 4 years ago
• thoglu / jammy_flows
  A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control…
  ☆43Updated 3 months ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆236Updated last year
• WarrenWeckesser / odeintw
  odeintw provides a wrapper of scipy.integrate.odeint that allows it to handle complex and matrix differential equations.
  ☆40Updated 3 weeks ago
• xitorch / xitorch
  Differentiable scientific computing library
  ☆152Updated 11 months ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year
• GkAntonius / feynman
  Sharp-looking Feynman diagrams in python
  ☆72Updated 5 months ago