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 Fast Fourier Transform library

Understanding Convolution for Semantic Segmentation

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network

Building Convolutional Neural Networks From Scratch using NumPy

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

Deep Learning in C#

A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem

Efficient Haskell Arrays featuring Parallel computation

ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083

Caffe for Sparse Convolutional Neural Network

Image processing and manipulation in JavaScript

Simple demonstration of separable convolutions

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

Blazing-fast Expression Templates Library (ETL) with GPU support, in C++

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

python implementation of efficient convolution operators for tracking

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

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.

[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.

Xilinx Deep Learning IP

A Cross-platform Library for Swift

This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247