There are 6 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
带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
Library for specialized dense and sparse matrix operations, and deep learning primitives.
An implementation of the system-wide JamesDSP audio processing engine for non-rooted Android devices
Understanding Convolution for Semantic Segmentation
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.
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem
ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
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
An alternative to convolution in neural networks
A Java Library for Digital Signal Processing
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
Blazing-fast Expression Templates Library (ETL) with GPU support, in C++
python implementation of efficient convolution operators for tracking
Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
PHP extension for efficient scientific computing and array manipulation with GPU support
Image Processing Toolbox in Verilog using Basys3 FPGA
A Cross-platform Library for Swift