Alternatives and similar repositories for torch_cg

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

• massastrello / awesome-implicit-neural-models
  ☆102Updated 4 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆83Updated 3 years ago
• flaport / torch_sparse_solve
  A sparse KLU solver for PyTorch.
  ☆65Updated 3 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆606Updated 2 years ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆253Updated 2 years ago
• sbarratt / torch_interpolations
  Interpolation routines in Pytorch.
  ☆110Updated 4 years ago
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆129Updated 5 years ago
• aliutkus / torchsearchsorted
  Pytorch Custom CUDA kernel for searchsorted
  ☆137Updated last year
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆354Updated last month
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆147Updated last year
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆140Updated 4 years ago
• boschresearch / multiplicative-filter-networks
  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
  ☆95Updated 4 years ago
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆82Updated 4 years ago
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆56Updated 6 years ago
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 4 years ago
• ChenAo-Phys / pytorch-Jacobian
  Implement efficient jacobian method available for most pytorch networks
  ☆44Updated 5 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• locuslab / mdeq
  [NeurIPS'20] Multiscale Deep Equilibrium Models
  ☆234Updated 4 years ago
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆246Updated 3 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆73Updated 5 years ago
• juntang-zhuang / torch_ACA
  repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE
  ☆56Updated 4 years ago
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆106Updated 4 years ago
• pimdh / relie
  Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
  ☆52Updated 2 years ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆281Updated 3 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆179Updated 3 years ago
• SkafteNicki / libcpab
  CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…
  ☆50Updated 3 years ago
• EmilienDupont / neural-processes
  Pytorch implementation of Neural Processes for functions and images
  ☆232Updated 3 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆55Updated 11 months ago
• adambielski / GrouPy
  Group Equivariant Convolutional Neural Networks
  ☆100Updated 7 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆53Updated 5 years ago