Alternatives and similar repositories for nanograd

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

• breandan / picograd
  🦠 AD in less than 20 lines
  ☆54Updated 4 years ago
• awf / functional-transformer
  A pure-functional implementation of a machine learning transformer model in Python/JAX
  ☆179Updated 3 months ago
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆107Updated last year
• cgarciae / ciclo
  A functional training loops library for JAX
  ☆88Updated last year
• google / autobound
  AutoBound automatically computes upper and lower bounds on functions.
  ☆361Updated last year
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆199Updated 8 months ago
• cgarciae / einop
  ☆60Updated 3 years ago
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆268Updated this week
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆179Updated last week
• SymJAX / SymJAX
  Documentation:
  ☆121Updated 2 years ago
• google-deepmind / synjax
  ☆247Updated last month
• greydanus / mnist1d
  A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
  ☆227Updated 10 months ago
• justindomke / numbat
  NumPy+Jax with named axes and an uncompromising attitude
  ☆20Updated 5 months ago
• stanford-crfm / haliax
  Named Tensors for Legible Deep Learning in JAX
  ☆197Updated last week
• xl0 / lovely-jax
  JAX Arrays for human consumption
  ☆106Updated last month
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆346Updated 3 months ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆276Updated 2 weeks ago
• nestordemeure / jochastic
  A JAX implementation of stochastic addition.
  ☆14Updated 2 years ago
• google-deepmind / einshape
  ☆105Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆487Updated last week
• jax-ml / coix
  Inference Combinators in JAX
  ☆50Updated 2 months ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆154Updated 9 months ago
• modula-systems / modula
  🧱 Modula software package
  ☆216Updated last week
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆127Updated last month
• google-deepmind / nanodo
  ☆275Updated last year
• metaopt / optree
  OpTree: Optimized PyTree Utilities
  ☆189Updated this week
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• cgarciae / nnx
  Neural Networks for JAX
  ☆84Updated 10 months ago
• Artur-Galstyan / statedict2pytree
  ☆43Updated 2 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆51Updated last year