Alternatives and similar repositories for pyBregMan

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

• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 3 years ago
• abao1999 / panda
  Patched Attention for Nonlinear Dynamics
  ☆161Updated last week
• Iolo-Jones / DiffusionGeometry
  The code for "Diffusion Geometry" (2024).
  ☆44Updated last year
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated 2 years ago
• uzulim / hades
  Fast singularity detection with kernel
  ☆37Updated last year
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 4 years ago
• Atcold / Energy-Book
  Deep Learning, an Energy Approach
  ☆224Updated 6 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 7 months ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆44Updated 2 years ago
• Rose-STL-Lab / symmetry-ode-discovery
  Official codebase for our NeurIPS paper, Symmetry-Informed Governing Equation Discovery.
  ☆11Updated last year
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• Iolo-Jones / ManifoldDiffusionGeometry
  Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"
  ☆44Updated last year
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆53Updated last week
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆282Updated 3 weeks ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆161Updated last year
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆58Updated 4 months ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆60Updated last year
• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆77Updated 2 years ago
• yzshi5 / OpFlow
  code for "Universal Functional Regression with Neural Operator Flows" TMLR 2024
  ☆19Updated 5 months ago
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆132Updated last year
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆278Updated 5 months ago
• gd-vae / gd-vae
  Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …
  ☆34Updated 3 weeks ago
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆171Updated last year
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆146Updated 3 weeks ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 7 months ago
• AndreasBergmeister / pjax
  A projection-based framework for gradient-free and parallel learning
  ☆108Updated 5 months ago
• ml-jku / GINNs-Geometry-informed-Neural-Networks
  ☆179Updated last week
• williamgilpin / shrec
  Reconstructing shared causal drivers from noisy time series
  ☆58Updated last year
• wzhi / ODElearning_INN
  [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
  ☆10Updated 2 years ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 3 years ago