Alternatives and similar repositories for numpy_to_jax

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

• albahnsen / pycircular
  pycircular is a Python module for circular data analysis
  ☆105Updated 2 years ago
• GilpinLab / dysts
  Hundreds of strange attractors
  ☆496Updated last month
• SugiharaLab / pyEDM
  Python package of EDM tools
  ☆138Updated 2 weeks ago
• HelmholtzAI-Consultants-Munich / XAI-Tutorials
  Self-explanatory tutorials for different model-agnostic and model-specific XAI methods
  ☆64Updated last week
• alan-turing-institute / autoemulate
  Emulate simulations easily
  ☆102Updated this week
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆91Updated 8 months ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆323Updated 3 weeks ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆200Updated last year
• wesselb / neuralprocesses
  A framework for composing Neural Processes in Python
  ☆86Updated 10 months ago
• patrickmineault / true-neutral-cookiecutter
  A minimalist cookiecutter for research and data science projects
  ☆37Updated 2 years ago
• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆52Updated 2 years ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆459Updated 3 months ago
• dustinstansbury / statistical-rethinking-2023
  Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
  ☆181Updated last year
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆122Updated last month
• paris-saclay-cds / ramp-workflow
  Toolkit for building predictive workflows on top of pydata (pandas, scikit-learn, pytorch, keras, etc.).
  ☆72Updated 7 months ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆230Updated 3 years ago
• bogeholm / pytisean
  Python wrapper for TISEAN
  ☆30Updated 8 years ago
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆117Updated last year
• jasperroebroek / sklearn-quantile
  ☆22Updated 7 months ago
• scikit-hep / resample
  Randomization-based inference in Python
  ☆84Updated last week
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆158Updated last year
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆47Updated 4 years ago
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated last week
• williamgilpin / fnn
  Embed strange attractors using a regularizer for autoencoders
  ☆133Updated 4 years ago
• deepskies / DeeplyUncertain-Public
  ☆28Updated 2 years ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆224Updated 10 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 5 months ago
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆353Updated this week
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆462Updated 5 months ago