Alternatives and similar repositories for torch_interpolations

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

• sbarratt / torch_cg
  Preconditioned Conjugate Gradient in Pytorch
  ☆140Updated last year
• aliutkus / torchsearchsorted
  Pytorch Custom CUDA kernel for searchsorted
  ☆137Updated last year
• flaport / torch_sparse_solve
  A sparse KLU solver for PyTorch.
  ☆65Updated 3 years ago
• aliutkus / torchinterp1d
  1D interpolation for pytorch
  ☆172Updated last year
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆261Updated 2 years ago
• titu1994 / tf_fourier_features
  Tensorflow 2.0 implementation of Fourier Feature Mapping Networks.
  ☆43Updated 5 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆83Updated 3 years ago
• google-research / ott
  ☆214Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 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
• ebekkers / gsplinets
  B-Spline CNNs on Lie groups
  ☆54Updated 5 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆119Updated 2 years ago
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆67Updated 5 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
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆131Updated 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
• toshas / torch-householder
  Efficient Householder Transformation in PyTorch
  ☆66Updated 4 years ago
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆278Updated 5 years ago
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆107Updated 4 years ago
• locuslab / mdeq
  [NeurIPS'20] Multiscale Deep Equilibrium Models
  ☆234Updated 4 years ago
• crowsonkb / mdmm
  The Modified Differential Multiplier Method (MDMM) for PyTorch
  ☆59Updated 4 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• zlin7 / CGNet
  ☆70Updated 2 years ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆169Updated 5 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆147Updated last year
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆191Updated last month
• massastrello / awesome-implicit-neural-models
  ☆103Updated 4 years ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 3 years ago
• SkafteNicki / libcpab
  CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…
  ☆50Updated 4 years ago