Search Results for "neighbor"
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Showing 74 open source projects for "neighbor"
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Efficiently manage your fleet, drivers, students and routes. Get 24/7 live technical support from anywhere, anytime. Lynx empowers your transport department by providing multiple features to keep up with your school transport needs. Get control of your bus routing data. Easily update student information to any of your bus routes. View multiple routes at one time, set specific parameters in real-time and more. Track and monitor your vehicles plus keep track of fleet maintenance, all in real-time. Easily create customized reports to comply with transportation regulations and requirements. Easily view, map or export all of your rider pickups, special needs riders and group stops in one place.
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Achieve harmony across your Apple device fleet with Kandji's unmatched management and security capabilities.
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Cell Neighbor Planning Maestro
Planning Cellular Neighbors for Free! Release 2!
VERSION 20.00 RELEASE 02.0. This is a free tool that's used by RF Engineers to Plan the Neighbor for the Cellular Network. It's used to plot Engineering Parameters as well as kml. This tool is the first mile in the long journey of creating a free (suite) used to plan Cellular Networks. -
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Qdrant
Vector Database for the next generation of AI applications
... functionality. Implement a unique custom modification of the HNSW algorithm for the Approximate Nearest Neighbor Search. Search with a State-of-the-Art speed and apply search filters without compromising on results. Support additional payload associated with vectors. Not only stores payload but also allows filter results based on payload values. Unlike Elasticsearch post-filtering, Qdrant guarantees all relevant vectors are retrieved. -
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Annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage
Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given query point. It also creates large read-only file-based data structures that are mmapped into memory so that many processes may share the same data. There are some other libraries to do nearest neighbor search. Annoy is almost as fast as the fastest libraries, (see below), but there is actually another feature that really sets Annoy apart: it has... -
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Elastiknn
Elasticsearch plugin for nearest neighbor search
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity searches using exact and approximate algorithms. Methods like word2vec and convolutional neural nets can convert many data modalities (text, images, users, items, etc.) into numerical vectors, such that pairwise distance computations on the vectors correspond to semantic similarity of the original data. Elasticsearch is a ubiquitous search solution, but its support for vectors is limited. This plugin fills... -
Want to reduce your estimating time by 50% or more? Then IntelliBid Electrical Estimating software is designed for you. Produce estimates much faster and with greater accuracy with IntelliBid’s automated estimating processes and robust ‘out-of-the-box’ items and assemblies database.
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AnnLite
A fast embedded library for approximate nearest neighbor search
AnnLite is a lightweight and embeddable library for fast and filterable approximate nearest neighbor search (ANNS). It allows to search for nearest neighbors in a dataset of millions of points with a Pythonic API. A simple API is designed to be used with Python. It is easy to use and intuitive to set up to production. The library uses a highly optimized approximate nearest neighbor search algorithm (HNSW) to search for nearest neighbors. The library allows you to search for nearest neighbors... -
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM... -
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openTSNE
Extensible, parallel implementations of t-SNE
openTSNE is a modular Python implementation of t-Distributed Stochasitc Neighbor Embedding (t-SNE) [1], a popular dimensionality-reduction algorithm for visualizing high-dimensional data sets. openTSNE incorporates the latest improvements to the t-SNE algorithm, including the ability to add new data points to existing embeddings [2], massive speed improvements [3] [4] [5], enabling t-SNE to scale to millions of data points, and various tricks to improve the global alignment of the resulting... -
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Molly.jl
Molecular simulation in Julia
Much of science can be explained by the movement and interaction of molecules. Molecular dynamics (MD) is a computational technique used to explore these phenomena, from noble gases to biological macromolecules. Molly.jl is a pure Julia package for MD, and for the simulation of physical systems more broadly. The package is described in a talk at Enzyme Conference 2023 and an earlier talk at the JuliaMolSim minisymposium at JuliaCon 2022. Slides are also available for a tutorial in September... -
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Vald
Vald. A Highly Scalable Distributed Vector Search Engine
Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search for neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which is made for searching from billions of feature vector data. Vald is easy to use, feature-rich and highly customizable as you needed. Usually, the graph requires locking during... -
Noteable is an all-in-one behavioral health care management system that helps mental health care providers manage client care, not just client records. Born from the real experience of successful industry professionals, Noteable offers a fresh, holistic approach to practice management that makes it incredibly simple for clinicians to manage their case load and empowers you with the tools you need to more effectively run your practice.
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Faiss
Library for efficient similarity search and clustering dense vectors
Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It... -
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NEtCAT NanoSurface Analyzer
NanoSurface Analyzertool is designed for the STM image analysis
NanoSurface Analyzer tool is designed for the analysis and measurement of surface data at the nanoscale. This application is developed to support researchers working with surface data by providing tools for reading, processing, and analyzing data. -
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... were assigned to corresponding neighbor metabolites in GCMN as their “pseudo” spectra, and the propagation was performed by searching predicted retention times, MS1 and “pseudo” spectra against metabolite features. Then, the annotated metabolite features were used as new seeds for annotation propagation again. A total of 2,041 metabolites were annotated from a pooled biological sample, and the annotation accuracy was > 83% with RSD < 2%.
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WaveTrain (Python)
Quantum dynamics of chain-like systems using tensor train formats
WaveTrain is an open-source software for numerical simulations of chain-like quantum systems with nearest-neighbor (NN) interactions only (with or without periodic boundary conditions). This Python package is centered around tensor train (TT, or matrix product) representations of quantum-mechanical Hamiltonian operators and (stationary or time-evolving) state vectors. WaveTrain builds on the Python tensor train toolbox scikit_tt, which provides efficient construction methods, storage schemes... -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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Deletion 44
Match five game
The name of game is "Deletion 44" as it can delete 44 same color neighbor stones at most by copy action. ==Rules== 1. Select a source stone by mouse button clicked. 2. Then, select a target stone that neighbors a source stone (up, down, left, right) by mouse button clicked. 3. If target stones have more than 3 stones as same color in a row (for right or left neighbor) or in a column (for up or down neighbor), copy the color of source stone to target stones. Otherwise, go to step 1. 4... -
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Racktables is a nifty and robust solution for datacenter and server room asset management. It helps document hardware assets, network addresses, space in racks, networks configuration and much much more!
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CRONLOCO!
User-Programmable Voice Clock
Annoy your neighbor, antagonize your boss, or simply make everyone else smile with this insidiously customizable audio clock. -
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Gamma
Real time vector search engine
... in our Middleware paper. As for the part of similarity search of vectors in Gamma, it is mainly implemented based on faiss which is an open-source library developed by Facebook AI Research. Besides faiss, it can easily support other approximate nearest neighbor search(ANN) algorithms or libraries. -
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Isolation‐based anomaly detection
Isolation‐based anomaly detection using nearest‐neighbor ensembles
This site provides the source code of Isolation‐based anomaly detection (iNNE). https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12156 Bandaragoda, T.R., Ting, K.M., Albrecht, D., Liu, F.T., Zhu, Y. and Wells, J.R., 2018. Isolation‐based anomaly detection using nearest‐neighbor ensembles. Computational Intelligence, 34(4), pp.968-998. -
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Switch Miner
Cisco switch port mapper
... Addresses OUI Manufacturer VLAN Number (Data/Voice) VLAN Name (Data/Voice) IP Addresses DNS/NBT Computer Names User Info Domain Info Interface Errors CDP Neighbor Info -
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Neighbor-Discovery
Modified AODV for P2P Network Resource Discovery Simulation in MANET
Neighbor Discovery for mobile peer-to-peer networks. -
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Douya Bean sprouts
A Material Design app for douban.com
The open source Material Design Douban client. Among all people who directly access Douban, the most common and consistent usage is around ratings, comments, discoveries, and discussions around movies, TV, books, records, and events (what we call "items"). We will use the ratings and comments that are synchronized with the website as a starting point and basis to reconstruct the discovery and discussion around personal interests on the mobile phone. Douban is never a single website, and the... -
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BNNPT
A powerful method for nonlinear dependence of two continuous variables
Testing dependence/correlation of two variables is one of the fundamental tasks in statistics. In this work, we proposed a powerful method for nonlinear dependence of two continuous variables (X and Y). We addressed this research question by using BNNPT (Bagging Nearest-Neighbor Prediction Test, software available at https://sourceforge.net/projects/bnnpt/). In the BNNPT framework, we first used the value of X to construct a bagging neighborhood structure. And then, we got the out of bag... -
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Evolutionary relationship of species provides a great deal of information about their biochemical machinery. So many researchers focus on the research of constructing the phylogenetic tree. A phylogenetic tree is a representation of evolution, tree normally describe the evolution of the species where the sequence are found.A method called the neighbor-joining method is proposed for constructing phylogenetic trees from evolutionary distance data. The principle of this method is to find pairs...