Alternatives and similar repositories for skerch

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

• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆94Updated 2 years ago
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆80Updated last year
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆62Updated this week
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated 2 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆151Updated 2 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆70Updated 8 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆123Updated last month
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• f-dangel / phd-thesis
  Source code for my PhD thesis: Backpropagation Beyond the Gradient
  ☆20Updated 2 years ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆191Updated last year
• f-dangel / vivit
  [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…
  ☆17Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆86Updated 2 years ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆505Updated 5 months ago
• HEmile / storchastic
  Stochastic Automatic Differentiation library for PyTorch.
  ☆208Updated last year
• baumgach / tue-slurm-helloworld
  Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
  ☆33Updated 2 years ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆191Updated last week
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆160Updated last month
• wesselb / lab
  A generic interface for linear algebra backends
  ☆76Updated 2 months ago
• laplax-org / laplax
  Laplace approximations in JAX.
  ☆41Updated this week
• CW-Huang / CP-Flow
  Convex potential flows
  ☆85Updated 4 years ago
• xl0 / lovely-jax
  JAX Arrays for human consumption
  ☆110Updated 2 months ago
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆35Updated 10 months ago
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆311Updated 3 months ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆132Updated last year
• bb515 / diffusionjax
  diffusionjax is a simple and accessible diffusion models package in JAX
  ☆48Updated last year
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆108Updated 11 months ago