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
  ☆238Updated 7 months ago
• Iolo-Jones / DiffusionGeometry
  The code for "Diffusion Geometry" (2024).
  ☆44Updated last year
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆70Updated 8 months ago
• AndreiB137 / EinFields
  Einstein Fields official implementation in JAX.
  ☆68Updated 4 months ago
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆176Updated last year
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated 2 years ago
• carnotresearch / cr-sparse
  Functional models and algorithms for sparse signal processing
  ☆96Updated 2 years ago
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆281Updated 7 months ago
• abao1999 / panda
  Patched Attention for Nonlinear Dynamics
  ☆167Updated last month
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆19Updated 4 years ago
• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 3 years ago
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆134Updated last year
• andres-fr / skerch
  Sketched linear operations for PyTorch
  ☆100Updated 2 months ago
• Iolo-Jones / ManifoldDiffusionGeometry
  Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"
  ☆44Updated last year
• pnkraemer / million-dimension-prob-ode-solver-experiments
  ☆10Updated 3 years ago
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆58Updated 5 months ago
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 4 years ago
• Artur-Galstyan / statedict2pytree
  ☆44Updated 2 months ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆45Updated 2 years ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆53Updated 2 months ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 3 years ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆165Updated last year
• AndreasBergmeister / pjax
  A projection-based framework for gradient-free and parallel learning
  ☆109Updated 7 months ago
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆43Updated 2 years ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆284Updated last month
• google-research / spherical-cnn
  ☆129Updated 2 weeks ago
• Rose-STL-Lab / symmetry-ode-discovery
  Official codebase for our NeurIPS paper, Symmetry-Informed Governing Equation Discovery.
  ☆11Updated last year
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆160Updated last month
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆60Updated last year