Alternatives and similar repositories for torchinterp1d

Users that are interested in torchinterp1d are comparing it to the libraries listed below

• sbarratt / torch_interpolations
  Interpolation routines in Pytorch.
  ☆111Updated 4 years ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆272Updated 3 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆273Updated 2 years ago
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆113Updated 6 years ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆208Updated last year
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆288Updated 4 years ago
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆280Updated last month
• sbarratt / torch_cg
  Preconditioned Conjugate Gradient in Pytorch
  ☆141Updated last year
• dalmia / siren
  PyTorch implementation of Sinusodial Representation networks (SIREN)
  ☆264Updated 2 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆281Updated last year
• chenlin9 / Gaussianization_Flows
  ☆21Updated 5 years ago
• francois-rozet / torchist
  NumPy-style histograms in PyTorch
  ☆55Updated 2 months ago
• aliutkus / torchsearchsorted
  Pytorch Custom CUDA kernel for searchsorted
  ☆136Updated 2 years ago
• Typal-Research / jacobian_free_backprop
  Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
  ☆39Updated 3 years ago
• lucidrains / siren-pytorch
  Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
  ☆505Updated 2 years ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆168Updated 5 years ago
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆119Updated 2 years ago
• locuslab / mdeq
  [NeurIPS'20] Multiscale Deep Equilibrium Models
  ☆236Updated 4 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆60Updated 4 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆189Updated 6 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆236Updated 6 years ago
• silvandeleemput / memcnn
  PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
  ☆256Updated 2 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆534Updated last year
• chrvt / denoising-normalizing-flow
  ☆20Updated 2 years ago
• izmailovpavel / flowgmm
  ☆149Updated 3 years ago
• 5yearsKim / Conditional-Normalizing-Flow
  Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
  ☆79Updated 2 years ago
• vislearn / HINT
  Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".
  ☆21Updated 4 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆231Updated 5 years ago
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆84Updated 4 years ago
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆270Updated last year