Alternatives and similar repositories for python_citations

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

• johannbrehmer / pointers
  Things that make me feel productive
  ☆15Updated 2 years ago
• adonath / gmmx
  Gaussian Mixture Models in Jax
  ☆22Updated 2 months ago
• dfm / jpu
  JAX + Units
  ☆48Updated this week
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆73Updated 4 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• mackelab / gatsbi
  GATSBI: Generative Adversarial Training for Simulation-Based Inference
  ☆19Updated 2 years ago
• gradhep / relaxed
  Provides differentiable versions of common HEP operations and objectives.
  ☆25Updated 2 years ago
• smsharma / hierarchical-inference
  Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
  ☆13Updated 2 years ago
• dfm / cv
  My CV
  ☆37Updated this week
• JAXtronomy / spexial
  Special functions in Jax
  ☆15Updated 6 months ago
• MP-Gadget / pmesh
  Particle Mesh in Python
  ☆27Updated 2 months ago
• ASEM000 / kernex
  Stencil computations in JAX
  ☆71Updated last year
• lukasheinrich / MLHEP-pyprob
  Tutorial Code for MLHEP pyprob
  ☆18Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 6 months ago
• lukasheinrich / pyhep2020-autodiff-tutorial
  ☆33Updated 4 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• simulation-based-inference / simulation-based-inference.github.io
  Website
  ☆11Updated this week
• NeilGirdhar / efax
  Exponential families for JAX
  ☆73Updated this week
• rainwoodman / fastpm-python
  Python version of FastPM
  ☆12Updated 5 years ago
• smsharma / sbi-lecture-mit
  Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.
  ☆58Updated last year
• rgiordan / paragami
  "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.
  ☆14Updated last year
• dodgebc / jaxkd
  Minimal JAX implementation of k-nearest neighbors using a k-d tree.
  ☆49Updated 2 months ago
• iaifi / summer-school-2022
  ☆16Updated 3 years ago
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated 2 months ago
• gradhep / neos
  Upstream optimisation for downstream inference
  ☆70Updated last week
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆14Updated 2 years ago
• cgarciae / simple-pytree
  A dead simple Python package for creating custom JAX pytree objects
  ☆64Updated 10 months ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆57Updated last year
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆164Updated last year