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南京大学计算机系 课程资料 作业 代码 实验报告 NJU-CS 课程分享计划 🍚
A collection of libraries to optimise AI model performances
this code is for the paper 'Deep Convolution Network for Direction of Arrival Estimation with Sparse Prior' pubished in IEEE spl
Project for finding beacon location using Angle of Arrival (AoA) signal. The Direction of Arrival estimation is based on the MUltiple SIgnal Classification (MUSIC) algorithm here.
Code repository for the paper Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs
A Direction-of-Arrival estimation code repo accompanying our research paper.
Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.
A simple library for theoretical research on direction-of-arrival (DOA) estimation in array signal processing.
wyq517 / FPGAandCNN
Forked from suisuisi/FPGAandCNN基于FPGA的数字识别-实时视频处理的定点卷积神经网络实现
wyq517 / Embedded-System-Standalone-Flow-Design-using-Zynq
Forked from xupgit/Zynq-Design-using-VivadoThis XUP course provides an introduction to embedded system design on Zynq using the Xilinx Vivado software suite.
Must-have verilog systemverilog modules
Stepwise optimizations of DGEMM on CPU, reaching performance faster than Intel MKL eventually, even under multithreading.
Deep Learning Accelerator (Convolution Neural Networks)
An FPGA Accelerator for Transformer Inference
deep learning for image processing including classification and object-detection etc.
[ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"
Open deep learning compiler stack for cpu, gpu and specialized accelerators
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
CVNets: A library for training computer vision networks
🐍 Geometric Computer Vision Library for Spatial AI
The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐