Alternatives and similar repositories for PyTorchHessianFree

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

• locuslab / ImpSq
  Implicit^2: Implicit model for implicit neural representations
  ☆29Updated 4 years ago
• marvin-eisenberger / implicit-sinkhorn
  ☆74Updated 2 years ago
• hahnec / torchimize
  numerical optimization in pytorch
  ☆139Updated last year
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆96Updated 4 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆79Updated 4 years ago
• justachetan / hnf-derivatives
  Code for "Accurate Differential Operators for Hybrid Neural Fields", accepted at CVPR 2025
  ☆28Updated 7 months ago
• sbarratt / torch_cg
  Preconditioned Conjugate Gradient in Pytorch
  ☆142Updated last year
• osiriszjq / complex_encoding
  Trading Positional Complexity vs Deepness in Coordinate Networks
  ☆31Updated 2 years ago
• stevenygd / PNF
  Polynomial Neural Fields for Subband Decomposition and Manipulation
  ☆58Updated 2 years ago
• tum-vision / intrinsic-neural-fields
  [ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds
  ☆77Updated 3 years ago
• ml-for-gp / jaxgptoolbox
  Geometry processing utilities compatible with jax for autodifferentiation.
  ☆90Updated 2 years ago
• flaport / torch_sparse_solve
  A sparse KLU solver for PyTorch.
  ☆66Updated 4 years ago
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆46Updated 2 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated 2 years ago
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆82Updated 9 months ago
• fwilliams / fml
  FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
  ☆36Updated 6 years ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆275Updated 3 years ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆372Updated last week
• luckystarufo / SIREN_out_of_sample_tests
  A quick test of SIREN on out-of-sample tasks
  ☆13Updated 5 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆167Updated 3 years ago
• ndahlquist / pytorch-fourier-feature-networks
  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
  ☆51Updated 5 years ago
• judelo / gmmot
  Python notebooks for Optimal Transport between Gaussian Mixture Models
  ☆47Updated 4 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆89Updated 3 years ago
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆69Updated 2 years ago
• ChenAo-Phys / pytorch-Jacobian
  Implement efficient jacobian method available for most pytorch networks
  ☆45Updated 5 years ago
• lucidrains / differentiable-SDF-pytorch
  Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch
  ☆70Updated 3 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆73Updated 6 years ago
• tum-pbs / half-inverse-gradients
  Source code for the ICLR'22 paper on "Half-Inverse Gradients"
  ☆19Updated 3 years ago
• vsitzmann / neural-isometries
  Official JAX implementation of neural isometries - taming transformations for equivariant ML
  ☆36Updated 6 months ago
• KingJamesSong / DifferentiableSVD
  A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…
  ☆79Updated 2 years ago