#Convolution
Showing 18 of 18 repositories tagged #convolution, ranked by stars
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Imaging is a simple image processing package for Go
A Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation.
校招、秋招、春招、实习好项目！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
Library for specialized dense and sparse matrix operations, and deep learning primitives.
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.
Understanding Convolution for Semantic Segmentation
Building Convolutional Neural Networks From Scratch using NumPy
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
Deep Learning in C#
ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083
Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.
This toolbox is support material for the book on CNN (http://www.convolution.network).
A Fortran-based neural network library for physics-based applications. Alongside standard neural network layer types, it also supports graph-based layers and physics informed neural networks.
An implementation of dilated convolutional layer based on Darknet Architecture
Hi! Thanks for checking out my tutorial where I walk you through the process of coding a convolutional neural network in java from scratch. After building a network for a university assignment, I decided to create a tutorial to (hopefully) help others do the same and improve my own understanding of neural networks.
Plots IR spectra from from ORCA output files
Plots absorption spectra from from ORCA output files