Search Results for "data collection algorithm" - Page 23
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Showing 1337 open source projects for "data collection algorithm"
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Zenoss Community Edition
Zenoss - Intelligent IT Operations Management
Zenoss provides software-defined IT operations for the world’s largest organizations. We deliver the ultimate level of IT service health with simplicity by providing the most granular and intelligent IT service modeling possible, at any scale, and sharing these unique insights with other IT operations management (ITOM) tools to make them more efficient. Zenoss Community Edition is not a “demo” or trial version of Zenoss Enterprise or Zenoss Cloud! Before You install Zenoss Community... -
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JQuickBase
elementary database files for Java, B+ tree index files, ISAM
Java API to realize quick ISAM (Index Sequential Access Method) functionality for application in the file system. Includes scalable database files w/ space recovery and variable record length, scalable B+Tree index files. Supports file backup and restore. Two package types: one with and one without strong file encryption using Twofish algorithm and state-of-the-art encryption technology. -
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labuladong
labuladong algorithm
Due to frequent malicious attacks on my algorithm website, this site opens multiple mirror sites at the same time. The experience of studying on this site will be better with my Chrome quiz plug-in. At present, this website can take you hand in hand to solve more than 200 algorithm problems, and it is constantly updated. All of them are based on force-related questions, covering all question types and skills. I have added this article at the beginning of each article. Links to topics that... -
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Machine Learning Financial Laboratory
MlFinLab helps portfolio managers and traders
MlFinLab is a comprehensive Python library designed to support the development of machine learning strategies in quantitative finance and algorithmic trading. The project provides a large collection of tools that implement techniques from academic research on financial machine learning. It covers the full lifecycle of developing data-driven trading strategies, including data preprocessing, feature engineering, labeling techniques, model training, and performance evaluation. Many of the algorithms implemented in the library are based on concepts introduced in advanced quantitative finance literature and peer-reviewed research. ... -
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AI Platform Training and Prediction
Cloud ML Engine repo
AI Platform Training and Prediction is a collection of machine learning example projects that demonstrate how to train, deploy, and serve models using Google Cloud AI Platform and related services. It includes a wide variety of implementations across frameworks such as TensorFlow, PyTorch, scikit-learn, and XGBoost, allowing developers to explore different approaches to building ML solutions. -
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Machine Learning in Asset Management
Machine Learning in Asset Management
Machine Learning in Asset Management is a research-oriented repository that explores how machine learning techniques can be applied to portfolio management and asset allocation. The project collects educational materials, code implementations, and experiments related to applying artificial intelligence methods in financial markets. It covers topics such as predictive modeling for asset prices, portfolio optimization strategies, and risk management using machine learning algorithms. The... -
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Awesome Explainable Graph Reasoning
A collection of research papers and software related to explainability
A collection of research papers and software related to explainability in graph machine learning. Deep learning methods are achieving ever-increasing performance on many artificial intelligence tasks. A major limitation of deep models is that they are not amenable to interpretability. This limitation can be circumvented by developing post hoc techniques to explain the predictions, giving rise to the area of explainability. -
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The Secret Lives of Data
Understanding what your bits do when you're not looking
The Secret Lives of Data is an educational visualization project about how data systems work internally. It aims to explain databases, servers, consensus protocols, and distributed systems through interactive visual experiences. The flagship visualization teaches the Raft distributed consensus algorithm in a more approachable way than a traditional paper or static diagram. -
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StreamAlert
StreamAlert is a serverless, realtime data analysis framework
StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries or... -
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solaton
Monitor software for the epever solar pv charge controller.
This software is used to extract operational data from the EPEVER Triron solar-PV controller, including its PV power output, battery voltage, load current, device temperatute, etc. Data collection is done in two halves: a client ("solatonclient") that talks to the controller via a serial port and RS-485 adapter, and a server ("solatonserver") that stores the information in files. -
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scikit-learn tips
50 scikit-learn tips
scikit-learn-tips is an educational repository that collects practical advice and best practices for using the scikit-learn machine learning library effectively. The project consists of short explanations and examples that highlight common patterns, pitfalls, and techniques used when building machine learning workflows in Python. Each tip typically demonstrates how specific components of scikit-learn, such as pipelines, preprocessing utilities, or model evaluation tools, should be applied in... -
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Photonix Photo Manager
A modern, web-based photo management server
...I'd love for other contributors to get involved. You can move some photos into the folder data/photos and they should get detected and imported immediately. Once you have finished trying out the system you can edit the volume in the docker-compose.yml file where it says ./data/photos to mount wherever you usually keep photos. System database, thumbnails and other cache data is stored separately from the photos so shouldn't pollute the area. -
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CloudMapper
CloudMapper analyzes your Amazon Web Services (AWS) environments
...You must have AWS credentials configured that can be used by the CLI with reading permissions for the different metadata to collect. Cloudmapper needs to make IAM calls and cannot use session credentials for collection, so you cannot use the AWS-vault server if you want to collect data, and must pass role credentials indirectly or configure AWS credentials manually inside the container. Generate HTML report. Includes a summary of the accounts and audit findings. Generate an HTML report for the IAM information of an account. -
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useful-custom-react-hooks
This project was bootstrapped with Create React App
useful-custom-react-hooks is a React learning project that demonstrates a broad collection of reusable custom hooks. It is built as a Create React App project and organizes each hook into its own component example. The repository covers common UI, browser, state, timing, storage, network, and interaction patterns that React developers often rebuild across projects. It includes hooks for toggling state, debouncing values, tracking previous values, managing arrays, storing data, fetching resources, loading scripts, and reacting to browser events. ... -
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This repository holds all interfaces related to PSR-16. Note that this is not a cache implementation of its own. It is merely an interface that describes a cache implementation. You can find implementations of the specification by looking for packages providing the psr/simple-cache-implementation virtual package. Caching is a common way to improve the performance of any project, making caching libraries one of the most common features of many frameworks and libraries. Interoperability at...
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Pythonidae
Curated decibans of scientific programming resources in Python
...The project emphasizes open contribution, allowing the community to continuously expand and refine the index. By gathering these resources in one place, Pythonidae acts as a central hub for scientific and data-driven programming with Python. -
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hora
Efficient approximate nearest neighbor search algorithm collections
hora is an open-source high-performance vector similarity search library designed for large-scale machine learning and information retrieval systems. The project focuses on approximate nearest neighbor search, a fundamental technique used in modern AI applications such as recommendation systems, image search, and semantic search engines. Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning... -
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Running Spreadsheets
Collecting and improving on runners' exercise spreadsheets
Some runners don't have, or don't want to carry, devices to track their mileage. Some want to add calculations, or append data, beyond what apps allow. For whatever reason, people have developed a variety of spreadsheets to collect data and perform calculations pertaining to their running (not to mention their biking, walking, weightlifting, and other exercise). The zip file offered here (see Files tab, above) incorporates a number of spreadsheets that I accumulated during a search online. ... -
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JavaScript MD5
Compatible with server-side environments like node.js
JavaScript-MD5 is a small, dependency-free implementation of the MD5 hashing algorithm written entirely in JavaScript, designed to run consistently across browsers, Node.js, and popular module loaders. It allows you to generate MD5 hashes from strings, arrays, ArrayBuffers, and other binary-like data types, making it useful for checksums, fingerprinting, and simple integrity checks on the client or server. The library is exposed as a plain function, so usage is as simple as calling md5(value) and receiving the 32-character hexadecimal hash. ... -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or... -
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AthenaCentral
Membership management software
AthenaCentral is used since 2006 by health club chains, fitness centers, gyms and many membership organizations. It offers multilingual, multi-country and multi-center functionality. Its flexibility and power enables you to quickly adapt to environmental as well as organizational changes. The system includes components for integrating additional technologies such as access control (barcode, RFID, fingerprints, ...). It is fully compatible iso20022 (financial information transactions)... -
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JSONCrush
Compress JSON into URL friendly strings
This simple system allows for excellent compression of uri encoded JSON strings using the JSCrush algorithm. -
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PsyExTool
psychophysical experiment control, data collection and visualization
...The responses are collected using keyboard or mouse. The process of experiment is displayed graphically. At the end of the session, the data can be stored or exported for further analysis. The structure of the program may incorporate and combine additional methods for data collection and stimuli presentation. The code is under MIT license. Comments and questions are welcome. -
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jfDataLoggerPlus
PLC Data Logger to SQL
jfDataLoggerPlus ================ jfDataLoggerPlus can log data from PLC controllers. Data is stored in SQL database. Runs as a service for long term data collection. Supports: - Siemens S7-300/400 PLCs - AllenBradley (CompactLogix Controllers only) - ModBus IP protocol - National Instruments DAQmx systems Website: http://jfdataloggerplus.sourceforge.net -
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go-gin-api
The API framework based on Gin's modular design
The API framework based on Gin's modular design encapsulates common functions, is easy to use, and is dedicated to rapid business development. For example, it supports cors cross-domain, jwt signature verification, zap log collection, panic exception capture, trace link tracking, prometheus monitoring indicators, swagger document generation, viper configuration file parsing, gorm database components, gormgen code generation tools, graphql query language, errno uniformly defines error codes,...