Alternatives and similar repositories for ESR:

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

• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆50Updated 2 weeks ago
• f0uriest / orthax
  Orthogonal polynomials with JAX
  ☆17Updated 2 weeks ago
• nmakke / SR-LivingReview
  ☆17Updated last year
• NIFTy-PPL / JAXbind
  Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation
  ☆67Updated this week
• f0uriest / quadax
  Numerical quadrature with JAX
  ☆57Updated 2 weeks ago
• DifferentiableUniverseInitiative / jaxDecomp
  JAX bindings for the NVIDIA cuDecomp library
  ☆32Updated 2 weeks ago
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆31Updated 2 weeks ago
• lukasheinrich / pyhep2020-autodiff-tutorial
  ☆31Updated 4 years ago
• smsharma / jax-conditional-flows
  Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
  ☆19Updated 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 2 years ago
• AshKelly / pyquad
  A lightweight, parallel python wrapper for the GSL integration library
  ☆15Updated 4 years ago
• Ceyron / exponax
  Efficient Differentiable n-d PDE solvers in JAX.
  ☆28Updated 5 months ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆44Updated 4 years ago
• astro-informatics / harmonic
  Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
  ☆64Updated 2 weeks ago
• h3jia / bayesfast
  Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.
  ☆29Updated 2 years ago
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆25Updated 11 months ago
• iaifi / summer-school-2024
  ☆21Updated 8 months ago
• astrockragh / Mangrove
  Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
  ☆24Updated last year
• ASEM000 / finitediffX
  Finite difference tools in JAX
  ☆18Updated last year
• flatironinstitute / jax-finufft
  JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library
  ☆90Updated 2 weeks ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆61Updated 3 weeks ago
• oliverphilcox / NPCFs.jl
  N-Point Correlation Functions in Julia
  ☆16Updated 3 years ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆56Updated 3 weeks ago
• florpi / summer_school_generative
  ☆13Updated last year
• homerjed / sbiax
  Fast, lightweight and parallelised simulation-based inference in JAX.
  ☆18Updated this week
• lbl-camera / fvGP
  A software package for flexible HPC GPs
  ☆16Updated last week
• DifferentiableUniverseInitiative / JaxPM
  JAX-powered Cosmological Particle-Mesh N-body Solver
  ☆38Updated last month
• JakobRobnik / MicroCanonicalHMC
  MCHMC: sampler from an arbitrary differentiable distribution
  ☆72Updated last month
• tomcharnock / IMNN
  Using neural networks to extract sufficient statistics from data by maximising the Fisher information
  ☆32Updated last year
• srigas / jaxKAN
  Kolmogorov-Arnold Networks built on JAX
  ☆74Updated 2 weeks ago