Alternatives and similar repositories for zencfg

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

• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆58Updated 4 months ago
• andres-fr / skerch
  Sketched linear operations for PyTorch
  ☆99Updated last month
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆146Updated 3 weeks ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆192Updated 4 months ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆191Updated last year
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆117Updated last month
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated 2 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• brentyi / jax_dataclasses
  Pytrees + dataclasses ❤️
  ☆69Updated 7 months ago
• f-dangel / vivit
  [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…
  ☆17Updated 2 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆88Updated 3 years ago
• cgarciae / treeo
  A small library for creating and manipulating custom JAX Pytree classes
  ☆56Updated 2 years ago
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆67Updated 5 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆117Updated 3 years ago
• cgarciae / ciclo
  A functional training loops library for JAX
  ☆88Updated last year
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆77Updated last year
• Artur-Galstyan / statedict2pytree
  ☆44Updated last month
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆309Updated 2 months ago
• vicariousinc / PGMax
  Loopy belief propagation for factor graphs on discrete variables, in JAX!
  ☆65Updated last year
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆102Updated 2 years ago
• DSSC-projects / veni
  A simple Python package for deep learning using forward automatic differentiation based on JAX.
  ☆14Updated 3 years ago
• moskomule / hypergrad
  Simple and extensible hypergradient for PyTorch
  ☆18Updated 2 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆81Updated last year
• google-research / ott
  ☆214Updated 3 years ago
• plugyawn / gp-zoo
  A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…
  ☆14Updated 3 years ago
• xl0 / lovely-jax
  JAX Arrays for human consumption
  ☆110Updated last month
• CW-Huang / CP-Flow
  Convex potential flows
  ☆84Updated 4 years ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 7 months ago
• khdlr / augmax
  Efficiently Composable Data Augmentation on the GPU with Jax
  ☆41Updated 6 months ago