Alternatives and similar repositories for chi2comb-py

Users that are interested in chi2comb-py are comparing it to the libraries listed below

• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,810Updated last month
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆548Updated this week
• SJ001 / AI-Feynman
  ☆718Updated last year
• sbi-dev / sbi
  sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…
  ☆745Updated last week
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆766Updated last year
• jax-md / jax-md
  Differentiable, Hardware Accelerated, Molecular Dynamics
  ☆1,315Updated this week
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆961Updated 2 weeks ago
• dso-org / deep-symbolic-optimization
  A deep learning framework for symbolic optimization.
  ☆686Updated 9 months ago
• gkasieczka / DisCo
  ☆14Updated 4 years ago
• ajgilbert / EFT2Obs
  Automatically parametrize the effect of EFT coefficients on arbitrary observables
  ☆10Updated 6 months ago
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆1,001Updated 3 weeks ago
• HEPML-AnomalyDetection / CATHODE
  CATHODE program from arxiv.org/abs/2109.00546
  ☆11Updated last year
• MilesCranmer / PySR
  High-Performance Symbolic Regression in Python and Julia
  ☆3,169Updated last week
• zwicker-group / py-pde
  Python package for solving partial differential equations using finite differences.
  ☆445Updated last week
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,534Updated last year
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆663Updated this week
• iml-wg / HEPML-LivingReview
  Living Review of Machine Learning for Particle Physics
  ☆402Updated last week
• NeuroDiffGym / neurodiffeq
  A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…
  ☆766Updated 3 months ago
• fontclos / hitandrun
  Hit-and-run algorithm in python 3.6
  ☆15Updated 4 years ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆459Updated 4 months ago
• sigma-py / quadpy
  Numerical integration (quadrature, cubature) in Python
  ☆786Updated 2 years ago
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆2,065Updated this week
• DedalusProject / dedalus
  A flexible framework for solving PDEs with modern spectral methods.
  ☆616Updated this week
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆209Updated 3 months ago
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆487Updated 2 months ago
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,680Updated 10 months ago
• johnaparker / fplanck
  Numerically solve the Fokker-Planck equation in N dimensions
  ☆94Updated 3 weeks ago
• google-deepmind / distrax
  ☆602Updated this week
• SciML / diffeqpy
  Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
  ☆582Updated 2 weeks ago
• netket / netket
  Machine learning algorithms for many-body quantum systems
  ☆630Updated last week