There are 2 repositories under convolution topic.
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
A Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation.
Imaging is a simple image processing package for Go
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Vulkan/CUDA/HIP/OpenCL/Level Zero Fast Fourier Transform library
Library for specialized dense and sparse matrix operations, and deep learning primitives.
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Understanding Convolution for Semantic Segmentation
Building Convolutional Neural Networks From Scratch using NumPy
PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem
Efficient Haskell Arrays featuring Parallel computation
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers
Caffe for Sparse Convolutional Neural Network
Simple demonstration of separable convolutions
Audio DSP effects build on Android system framework layer. This is a repository contains a pack of high quality DSP algorithms specialized for audio processing.
Blazing-fast Expression Templates Library (ETL) with GPU support, in C++
An alternative to convolution in neural networks
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
python implementation of efficient convolution operators for tracking
Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
Multiplatform scientific computing for Dart
A Cross-platform Library for Swift
Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.
Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247
A Java Library for Digital Signal Processing
Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing
An interactive player for CNN convolution