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NovaRS is a GNSS station controlling software
Naval Observatory Vector Astrometry Software (NOVAS)
A 300 MHz to 3800 MHz RF module for the Novena Open Hardware Computing Platform
A small sized mobile vehicle based on ESP32 CAM module
Network on Chip Simulator
Nmap Project's Windows packet capture and transmission library
Cross platform terminal user interface library
CS533 Course Project (ongoing) - Exploring Parallel Architectures for Neural Processing Unit Implementations
C++ Simulator for Neural Processing Unit
在FPGA上面实现一个NPU计算单元。能够执行矩阵运算(ADD/ADDi/ADDs/MULT/MULTi/DOT等)、图像处理运算(CONV/POOL等)、非线性映射(RELU/TANH/SIGM等)。
A Limited-Memory Quasi-Newton Algorithm for Bound-Constrained Nonsmooth Optimization
Standalone RF test tool
A test board for the nRF52811 made with KiCad
The NRISC final project
Three-Dimensional Mixed-Element Unstructured Finite-Volume Solver for Compressible Euler/Navier-Stokes Equations
The code is an implementation of the Nystrӧm-based spectral clustering with the K-nearest neighbour-based sampling (KNNS) method (Pang et al. 2021). It is aimed for individual tree segmentation using airborne LiDAR point cloud data. When using the code, please cite as: Yong Pang, Weiwei Wang, Liming Du, Zhongjun Zhang, Xiaojun Liang, Yongning Li, Zuyuan Wang (2021) Nystrӧm-based spectral clustering using airborne LiDAR point cloud data for individual tree segmentation, International Journal of Digital Earth Code files: ‘segmentation.py’: the main function, including deriving local maximum from Canopy Height Model (CHM); ‘VNSC.py’: other functions for the algorithm, including mean-shift voxelization, similarity graph construction, KNNS sampling, eigendecomposition, k-means clustering, as well as the computation and writing of individual tree parameters. Key parameters: When using the code, users can adjust the values of local maximum window, gap (the upper limit of the number of final clusters), knn (the number of k-nearest neighbours in the similarity graph) and quantile in meanshift method based specific data characteristics. Currently, the value of local maximum window is 3m ×3m, the value of gap is defined as the 1.5 times of the local maximum detected from CHM. Parameter knn can be defined as a constant value (40 in the code) based on the data characteristics, or be determined through the relationship between it and the number of voxels. The default setting of quantile in meanshift method is the average density of point clouds. More details can be found in Pang et al. (2021). Test data: ‘ALS_pointclouds.txt’: point cloud data; ‘ALS_CHM.tif’: CHM of the point cloud data; ‘Reference_tree.csv’: field measurements for algorithm validation. The position was measured using differential GNSS. The tree height of each tree in this file is obtained by regression estimation. Outputs: ‘Data_seg.csv’: coordinate of each point (x, y, z) as well as its cluster label after segmentation; ‘Parameter.csv’: individual tree parameters (TreeID, Position_X, Position_Y, Crown, Height) based on the calculation described in Pang et al. (2021).
NSFEM implementation as Abaqus UEL
Agenium Scale vectorization library for CPUs and GPUs
***This is just a mirror of https://sf.net/projects/nsis -- please report issues there*** NSIS (Nullsoft Scriptable Install System) is a professional open source system to create Windows installers. It is designed to be as small and flexible as possible and is therefore very suitable for internet distribution.
NavSysLab LaTeX report project for GOST 7.0.11, 7.32, 2.105 documents
testing software for NTLab NT1065 four-channel multiband navigation RF Front-end IC
Understanding Negotiated-Congestion Routing for FPGAs
Workspace for courses at Cybernetics and robotics, NTNU
Hex-Rays microcode plugin for automated simplification of Windows Kernel decompilation.
Ntrip Version 2.0 Command Line Server
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.