Alternatives and similar repositories for torch_cg

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

• sbarratt / torch_interpolations
  Interpolation routines in Pytorch.
  ☆111Updated 4 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆620Updated 2 years ago
• flaport / torch_sparse_solve
  A sparse KLU solver for PyTorch.
  ☆66Updated 3 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆84Updated 3 years ago
• massastrello / awesome-implicit-neural-models
  ☆104Updated 4 years ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆270Updated 3 years ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆368Updated 5 months ago
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆130Updated 5 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆147Updated 2 years ago
• crowsonkb / mdmm
  The Modified Differential Multiplier Method (MDMM) for PyTorch
  ☆60Updated 4 years ago
• aliutkus / torchsearchsorted
  Pytorch Custom CUDA kernel for searchsorted
  ☆137Updated 2 years ago
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆85Updated 4 years ago
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆249Updated 4 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆141Updated 4 years ago
• pimdh / relie
  Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
  ☆52Updated 3 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆88Updated 3 years ago
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 5 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆53Updated 5 years ago
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆57Updated 6 years ago
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆96Updated 4 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆181Updated 4 years ago
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆106Updated 4 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• juntang-zhuang / torch_ACA
  repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE
  ☆56Updated 4 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆76Updated last year
• EmilienDupont / neural-processes
  Pytorch implementation of Neural Processes for functions and images
  ☆233Updated 3 years ago
• brain-research / nngp
  Deep neural network kernel for Gaussian process
  ☆212Updated 5 years ago
• fmeirinhos / pytorch-hessianfree
  PyTorch implementation of Hessian Free optimisation
  ☆43Updated 5 years ago
• KeunwooPark / siren-jax
  Unofficial implementation of Siren with Jax for image representation.
  ☆19Updated 3 years ago
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 3 years ago