Alternatives and similar repositories for convolution_as_multiplication

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

• BallisticLA / marla
  Matlab Algorithms for Randomized Linear Algebra
  ☆15Updated last year
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆204Updated 7 months ago
• BallisticLA / parla
  Python Algorithms for Randomized Linear Algebra
  ☆54Updated 2 years ago
• ucl-bug / jwave
  A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
  ☆171Updated 9 months ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆178Updated 2 weeks ago
• HazyResearch / butterfly
  Butterfly matrix multiplication in PyTorch
  ☆169Updated last year
• BallisticLA / RandBLAS
  A header-only C++ library for sketching in randomized linear algebra
  ☆91Updated 3 months ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆79Updated last year
• JeremieMelo / NeurOLight
  A Neural Operator-based Integrated Photonic Device Simulation Framework, NeurOLight NeurIPS 2022
  ☆40Updated last year
• joaquimcampos / DeepSplines
  Learning Activation Functions in Deep (Spline) Neural Networks
  ☆28Updated 2 years ago
• andreinechaev / nvcc4jupyter
  A plugin for Jupyter Notebook to run CUDA C/C++ code
  ☆233Updated 9 months ago
• tgautam03 / tGeMM
  General Matrix Multiplication using NVIDIA Tensor Cores
  ☆18Updated 5 months ago
• calad0i / HGQ
  High Granularity Quantizarion for Ultra-Fast Machine Learning Applications on FPGAs
  ☆30Updated 2 months ago
• BallisticLA / RandLAPACK
  A high-performance C++ library for randomized numerical linear algebra
  ☆72Updated 2 weeks ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆87Updated this week
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆126Updated 2 weeks ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆111Updated 3 months ago
• srush / Autodiff-Puzzles
  ☆436Updated 8 months ago
• carnotresearch / cr-sparse
  Functional models and algorithms for sparse signal processing
  ☆90Updated last year
• Dipolar-Quantum-Gases / jaxfit
  GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
  ☆57Updated 2 years ago
• ucl-bug / jaxdf
  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
  ☆128Updated 9 months ago
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆88Updated last week
• jax-ml / jax-ai-stack
  ☆193Updated this week
• asl-epfl / inference-learning-data-2022-python
  This page contains Python codes for the chapters appearing in all 3 volumes of the work "Sayed, Ali. H., Inference and Learning from Data…
  ☆24Updated last year
• kmheckel / spyx
  Spyx: Spiking Neural Networks in JAX
  ☆122Updated 8 months ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆477Updated last month
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆188Updated 6 months ago
• mpi4jax / mpi4jax
  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python
  ☆481Updated last week
• dfm / extending-jax
  Extending JAX with custom C++ and CUDA code
  ☆396Updated 10 months ago
• AndreasBergmeister / pjax
  A projection-based framework for gradient-free and parallel learning
  ☆68Updated last week