Alternatives and similar repositories for tueplots:

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

• killiansheriff / LovelyPlots
  Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Ado…
  ☆869Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆473Updated 3 weeks ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆306Updated last month
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆579Updated this week
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆578Updated 3 months ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆673Updated 3 years ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆448Updated 11 months ago
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆805Updated this week
• nschloe / matplotx
  More styles and useful extensions for Matplotlib
  ☆812Updated 2 years ago
• lgienapp / aquarel
  Styling matplotlib made easy
  ☆787Updated last month
• rgerum / pylustrator
  Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facil…
  ☆871Updated 5 months ago
• cvxgrp / pymde
  Minimum-distortion embedding with PyTorch
  ☆546Updated last year
• patrick-kidger / torchtyping
  Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
  ☆1,426Updated 8 months ago
• djsutherland / arxiv-collector
  A little Python script to collect LaTeX sources for upload to the arXiv.
  ☆353Updated 8 months ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆500Updated 2 months ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆504Updated last week
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆960Updated last week
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,087Updated this week
• google-deepmind / distrax
  ☆565Updated last week
• patrick-kidger / jaxtyping
  Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
  ☆1,375Updated 3 weeks ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆475Updated 2 years ago
• proplot-dev / proplot
  🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics
  ☆1,127Updated last month
• yobibyte / prettyplots
  Design your own matplotlib stylefile interactively
  ☆215Updated 4 years ago
• facebookincubator / submitit
  Python 3.8+ toolbox for submitting jobs to Slurm
  ☆1,413Updated 7 months ago
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆377Updated last week
• jwkvam / celluloid
  Matplotlib animations made easy
  ☆1,133Updated last year
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆342Updated last year
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆186Updated 9 months ago
• LaPreprint / LaPreprint
  📝 A nicely formatted LaTeX preprint template
  ☆563Updated last year
• awslabs / fortuna
  A Library for Uncertainty Quantification.
  ☆912Updated last month