Alternatives and similar repositories for pyBregMan

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

• Atcold / Energy-Book
  Deep Learning, an Energy Approach
  ☆220Updated 5 months ago
• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 3 years ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 6 months ago
• Iolo-Jones / DiffusionGeometry
  The code for "Diffusion Geometry" (2024).
  ☆44Updated last year
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated 2 years 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
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆171Updated last year
• andres-fr / skerch
  Sketched linear operations for PyTorch
  ☆97Updated 3 weeks ago
• AndreasBergmeister / pjax
  A projection-based framework for gradient-free and parallel learning
  ☆106Updated 5 months ago
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆274Updated 5 months ago
• abao1999 / panda
  Patched Attention for Nonlinear Dynamics
  ☆161Updated this week
• Iolo-Jones / ManifoldDiffusionGeometry
  Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"
  ☆44Updated last year
• Artur-Galstyan / statedict2pytree
  ☆44Updated 2 weeks ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆19Updated 4 years ago
• cgarciae / einop
  ☆60Updated 3 years ago
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 4 years ago
• carnotresearch / cr-sparse
  Functional models and algorithms for sparse signal processing
  ☆95Updated 2 years ago
• pnkraemer / million-dimension-prob-ode-solver-experiments
  ☆10Updated 3 years ago
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆109Updated last year
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆53Updated last week
• wesselb / lab
  A generic interface for linear algebra backends
  ☆75Updated last week
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆58Updated 3 months ago
• ylefay / bayesianSDEsolver
  Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
  ☆10Updated 9 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆42Updated 2 years ago
• probabilists / azula
  Diffusion models in PyTorch
  ☆114Updated this week
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆278Updated this week
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 3 years ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆149Updated 2 weeks ago
• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆76Updated 2 years ago