#大语言模型#MNN是一个轻量级的深度神经网络引擎，支持深度学习的推理与训练。适用于服务器/个人电脑/手机/嵌入式各类设备。目前，MNN已经在阿里巴巴的手机淘宝、手机天猫、优酷等30多个App中使用，覆盖直播、短视频、搜索推荐、商品图像搜索、互动营销、权益发放、安全风控等场景。
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.
#计算机科学#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
#计算机科学#A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
#安卓#An implementation of the system-wide JamesDSP audio processing engine for non-rooted Android devices
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)
Image processing and manipulation in JavaScript
#安卓#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.
#计算机科学#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.
#计算机科学#Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
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
Efficient Haskell Arrays featuring Parallel computation