Alternatives and similar repositories for torchsearchsorted:

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

• sbarratt / torch_interpolations
  Interpolation routines in Pytorch.
  ☆110Updated 4 years ago
• LeviViana / torch_sampling
  Efficient reservoir sampling implementation for PyTorch
  ☆107Updated 3 years ago
• dalmia / siren
  PyTorch implementation of Sinusodial Representation networks (SIREN)
  ☆263Updated 2 years ago
• locuslab / mdeq
  [NeurIPS'20] Multiscale Deep Equilibrium Models
  ☆234Updated 3 years ago
• sbarratt / torch_cg
  Preconditioned Conjugate Gradient in Pytorch
  ☆140Updated last year
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆69Updated 4 years ago
• chrischoy / MakePytorchPlusPlus
  How and why you want to make your pytorch CUDA/CPP extension with a Makefile
  ☆172Updated 5 years ago
• johnhw / differentiable_sorting
  Differentiable bitonic sorting
  ☆139Updated 4 years ago
• SkafteNicki / libcpab
  CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…
  ☆50Updated 3 years ago
• sniklaus / pytorch-extension
  an example of a CUDA extension for PyTorch using CuPy which computes the Hadamard product of two tensors
  ☆118Updated 3 months ago
• lucidrains / differentiable-SDF-pytorch
  Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch
  ☆68Updated 2 years ago
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆68Updated 2 years ago
• aliutkus / torchpercentile
  Percentile computation for pytorch
  ☆20Updated 5 years ago
• silvandeleemput / memcnn
  PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
  ☆254Updated last year
• leoshine / Spherical_Regression
  PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".
  ☆147Updated 3 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆78Updated 3 years ago
• jenkspt / neural_hash_encoding
  ☆80Updated 3 years ago
• pclucas14 / pytorch-glow
  Pytorch Implementation of OpenAI's GLOW
  ☆93Updated 4 years ago
• ANLGBOY / SoftFlow
  PyTorch implementation of SoftFlow
  ☆58Updated 4 years ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆209Updated 11 months ago
• fwilliams / fml
  FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
  ☆35Updated 6 years ago
• meder411 / PyTorch-EMDLoss
  PyTorch 1.0 implementation of the approximate Earth Mover's Distance
  ☆138Updated 5 years ago
• stanford-futuredata / equivariant-transformers
  Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…
  ☆90Updated 5 years ago
• maxjiang93 / DDSL
  DDSL: Deep Differential Simplex Layer for Neural Networks
  ☆55Updated 4 years ago
• ajayjain / lmconv
  Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
  ☆77Updated 4 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆72Updated 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.
  ☆74Updated 8 months ago
• jw9730 / setvae
  [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch
  ☆74Updated 2 years ago
• GlassyWing / fourier-feature-networks
  An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》
  ☆66Updated 4 years ago
• peisuke / ImplicitGeometricRegularization.pytorch
  ☆56Updated last year