Alternatives and similar repositories for true-neutral-cookiecutter

Users that are interested in true-neutral-cookiecutter are comparing it to the libraries listed below

• patrickmineault / codebook
  The Good Research Code Handbook
  ☆614Updated 2 years ago
• pierreglaser / jupyter-slurm-setup-instructions
  ☆21Updated last week
• acerbilab / pybads
  PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
  ☆78Updated 2 weeks ago
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated last week
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆122Updated last month
• patrickmineault / research_code
  Writing good research code
  ☆116Updated 3 years ago
• dougollerenshaw / figrid
  Utilities for formatting matplotlib figures
  ☆31Updated 8 months ago
• albahnsen / pycircular
  pycircular is a Python module for circular data analysis
  ☆105Updated 2 years ago
• jaxleyverse / jaxley
  Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
  ☆122Updated last week
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆375Updated 3 weeks ago
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆93Updated 3 months ago
• statistical-python / yaglm
  A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…
  ☆58Updated 2 years ago
• dustinstansbury / statistical-rethinking-2023
  Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
  ☆181Updated last year
• alan-turing-institute / rse-course
  Materials for The Alan Turing Institute's Research Software Engineering course
  ☆258Updated 6 months ago
• neurodata / graph-stats-book
  ☆29Updated 2 years ago
• mackelab / neuralgbi
  Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…
  ☆11Updated 2 years ago
• pnkraemer / tueplots
  Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …
  ☆712Updated 3 months ago
• ljwolf / wampl
  Another Wes Anderson palette implementation
  ☆27Updated 5 years ago
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆876Updated 3 months ago
• benchopt / benchopt
  Making your benchmark of optimization algorithms simple and open
  ☆273Updated last week
• bayesflow-org / awesome-amortized-inference
  This is a community-driven collection of resources around amortized inference.
  ☆49Updated 11 months ago
• titipata / paper-reviewer-matcher
  Linear programming solver for paper-reviewer matching and mind-matching
  ☆86Updated 4 months ago
• mlcolab / sbi-workshop
  SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
  ☆23Updated 2 years ago
• ericmjl / essays-on-data-science
  In which I put together my thoughts on the practice of data science.
  ☆303Updated 2 years ago
• lnccbrown / HSSM
  Development of HSSM package
  ☆104Updated last week
• neuralcodinglab / dynaphos
  ☆16Updated last year
• y-sunflower / pyfonts
  A simple and reproducible way of using fonts in matplotlib
  ☆65Updated last week
• x-datascience-datacamp / datacamp-master
  Datacamp class for master student - 1 week
  ☆47Updated 10 months ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆63Updated 9 months ago
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆143Updated last month