Search Results for "data collection algorithm" - Page 21
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Showing 1337 open source projects for "data collection algorithm"
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BallroomDJ
Ballroom Music Player
BallroomDJ has been replaced with BallroomDJ 4 ( https://sourceforge.net/projects/ballroomdj4/ ). BallroomDJ is a ballroom music player. It is designed with the goal of being able to play music the entire evening without intervention. -
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DecryptLogin
Python library providing APIs for automated website login workflows
...DecryptLogin supports a wide variety of online services and platforms, including social media sites, developer platforms, cloud services, and other web portals. Developers can integrate these login routines into automation scripts, crawlers, or data collection tools that require authenticated sessions. It also provides example utilities and automation scripts demonstrating how the login APIs can be used in practical scenarios. -
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Python ML Jupyter Notebooks
Practice and tutorial-style notebooks
...The repository is designed to help learners understand both the theory and practical implementation of machine learning algorithms through step-by-step code examples. Many notebooks include explanations of algorithm behavior, data preparation techniques, and evaluation methods for machine learning models. The project also includes examples that demonstrate how to apply machine learning to real-world datasets and practical business problems. -
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Vue Query
Hooks for fetching, caching and updating asynchronous data in Vue
Hooks for fetching, caching and updating asynchronous data in Vue. Transport/protocol/backend agnostic data fetching (REST, GraphQL, promises, whatever!) Auto Caching + Refetching (stale-while-revalidate, Window Refocus, Polling/Realtime) Parallel + Dependent Queries. Mutations + Reactive Query Refetching. Multi-layer Cache + Automatic Garbage Collection. Paginated + Cursor-based Queries. -
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DifferenceKit
A fast and flexible O(n) difference algorithm framework
A fast and flexible O(n) difference algorithm framework for Swift collection. The algorithm is optimized based on the Paul Heckel’s algorithm. This is a diffing algorithm developed for Carbon, works stand alone. The algorithm optimized based on the Paul Heckel’s algorithm. See also his paper A technique for isolating differences between files released in 1978. It allows all kind of diffs to be calculated in linear time O(n). ... -
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DeepMind Educational Resources
DeepMind's repo of educational notebooks for learning AI and research
Educational is an open collection of interactive tutorials created by Google DeepMind to make the fundamentals of machine learning and artificial intelligence accessible to learners of all backgrounds. The repository provides hands-on, beginner-friendly resources that introduce essential AI concepts through Google Colab notebooks, combining intuitive explanations with executable code. -
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Spring Boot Demo
A project for in-depth study and practical application of Spring Boot
This repository is a hands-on, “deep learning by doing” collection of Spring Boot demos that you can run and study module by module. It currently includes 66 planned integrations (with 55 completed) spanning monitoring, logging, templating, data access, caching, messaging, scheduling, search, security, and more. The master branch targets Spring Boot 2.1.0.RELEASE with a parent POM that centralizes common dependency versions; the older v-1.5.x branch is frozen and its contents are being migrated to master. ... -
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NDW - Network Data Wiping Hard Disks HDD
Wipe erase data from hdds on the network, unlimited hard disks
...As soon as the workstation is powered on, it boots off the network via the server and begins wiping all the attached hard disk drives. Once all the hard drives are wiped, data related to each hard disk is stored in the central server’s database. Read WIKI Automated unattended network based data erasure wiping Comprehensive Reporting Web GUI reporting Generates certificate of data erasure Barcodes Labels Graphs Pie / Bar / Line Charts Hard Disks bad sectors & health reporting Hard Disk SMART Data collection Database Driven Distributed System Hard Disk Drives health reports Part Open Source * Friendly GUI Graphical User Interface Mass Hard Disk Drive Destruction Data Wiping HDD Data Eraser Storage Array Data Wipe -
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Auto-PyTorch
Automatic architecture search and hyperparameter optimization
While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, another trend in AutoML is to focus on neural architecture search. To bring the best of these two worlds together, we developed Auto-PyTorch, which jointly and robustly optimizes the network architecture and the training hyperparameters to enable fully automated deep learning (AutoDL). Auto-PyTorch is mainly developed to support tabular data (classification, regression) and time series... -
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Sandia Cyber Omni Tracker
Sandia Cyber Omni Tracker (SCOT)
SCOT is an open-source cybersecurity incident response and threat intelligence management system developed by Sandia National Laboratories. It centralizes alert collection, facilitates team collaboration, and enriches data with automated analysis, enhancing the efficiency and effectiveness of security operations teams. -
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sauc
Search of Alternate Unit Cells
A crystallographic cell is a representation of a lattice, but each lattice can be represented just as well by any of an infinite number of such unit cells. Searching for matches to an experimentally determined crystallographic unit cell in a large collection of previously determined unit cells is a useful verification step in synchrotron data collection and can be a screen for "similar" substances, but it is more useful to search for a match to the lattice represented by the experimentally determined cell. For identification of substances with small cells, a unit cell match may be sufficient for unique identification. ... -
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Jraph
A Graph Neural Network Library in Jax
Jraph (pronounced “giraffe”) is a lightweight JAX library developed by Google DeepMind for building and experimenting with graph neural networks (GNNs). It provides an efficient and flexible framework for representing, manipulating, and training models on graph-structured data. The core of Jraph is the GraphsTuple data structure, which enables users to define graphs with arbitrary node, edge, and global attributes, and to batch variable-sized graphs efficiently for JAX’s just-in-time compilation. The library includes a comprehensive set of utilities for batching, padding, masking, and partitioning graph data, making it ideal for distributed and large-scale GNN experiments. ... -
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Blend_My_NFTs
Easily generate thousands of 3D models, images, and animation NFTs
Blend_My_NFTs is an open-source, free-to-use Blender add-on that enables you to easily generate thousands of 3D Models, Animations, and Images. This add-on's primary purpose is to aid in the creation of large generative 3D NFT collections. It is the first and easiest 3D NFT generator. Blend_My_NFTs was initially developed to create Cozy Place, an NFT collection by This Cozy Studio Inc. Blend_My_NFTs works with Blender 3.2.2 on Windows 10 or macOS Big Sur 11.6. Linux is supported, however we... -
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AugmentedGaussianProcesses.jl
Gaussian Process package based on data augmentation, and sparsity
AugmentedGaussianProcesses.jl is a Julia package in development for Data Augmented Sparse Gaussian Processes. It contains a collection of models for different gaussian and non-gaussian likelihoods, which are transformed via data augmentation into conditionally conjugate likelihood allowing for extremely fast inference via block coordinate updates. There are also more options to use more traditional variational inference via quadrature or Monte Carlo integration. -
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Guide to Technical Interviews
Guided collection and roadmap for preparing technical interviews
This repository is a guided collection and roadmap for preparing technical interviews, covering the gamut from algorithmic challenges and data structures to system design and behavioral preparation. It consolidates resources like interview question lists, practice platforms, mock interview sites, and recommended books or blogs. For individuals targeting big-tech or rigorous interview processes, this acts as a structured study guide rather than a random list of links. -
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PoreMeth
PoreMeth is a tool for the identification of DMRs from Nanopore data.
PoreMeth is a tool for the detection of differentially methylated regions (DMRs) from nanopore sequencing data of two samples. PoreMeth tool is based on a heterogeneous form of the shifting level model, which integrates distances between consecutive CpGs in the segmentation algorithm. PoreMeth is fed with ∆β values and generates genomic segments with increased (hyper-) or decreased (hypo-) methylation levels between two samples, which are then evaluated for statistical significance using the Wilcoxon-rank sum test. -
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Reskin Sensor Library
ReSkin Sensor Interfacing Library
...Magnetic sensing separates the electronic circuitry from the passive-interface, making it easier to replace interfaces as they wear out while allowing for a wide variety of form factors. Machine learning allows us to learn sensor response models that are robust to variations across fabrication and time, and our self-supervised learning algorithm enables finer performance enhancement. -
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Julia.jl
Curated decibans of Julia programming language
Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. ... -
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The Python Computer Graphics Kit is a collection of Python modules that contain the basic types and functions to be able to create 3D computer graphics images (focusing on Pixar's RenderMan interface).
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mlscraper
ML-based HTML scraper that learns extraction rules from examples
mlscraper is a Python library designed to automatically extract structured data from HTML pages without requiring developers to manually write CSS selectors or XPath rules. Instead of defining extraction logic by hand, users provide a few examples of the data they want to retrieve from a webpage. It analyzes those examples within the HTML document and determines patterns or rules that can be used to extract the same type of information from similar pages. Once trained, the generated scraper... -
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OpenKey
Vietnamese Input for macOS, Windows and Linux
OpenKey is an open-source third-party keyboard for iOS that aims to provide customizable layouts and extend typing functionality. It focuses on user privacy and extensibility, offering a framework to build custom iOS keyboards. -
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Open Source Shelter Manager
Operational Support for those Managing Refugee Shelters
Welcome to the Open Source Shelter Manager (OSSM). We hope this program will help you manage your shelter's data as you go about the vital task of assisting refugees. User's guide at https://www.dbaustin.com/blog/refugee-shelter-manager/users-guide/ -
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OneForAll
OneForAll is a powerful subdomain collection tool
OneForAll is a comprehensive subdomain enumeration and reconnaissance tool primarily used in penetration testing and bug bounty workflows. Built in Python, it aggregates results from numerous DNS, certificate transparency, search engine, and threat intelligence sources to uncover hidden subdomains. The tool is particularly notable for incorporating many Chinese data sources that are often missed by Western-focused recon tools, increasing discovery coverage. It supports brute-force subdomain... -
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NSFW Data Scraper
Collection of scripts to aggregate image data
NSFW Data Scraper is an open-source project that provides scripts for automatically collecting large datasets of images intended for training NSFW image classification systems. The repository focuses on aggregating image data from various online sources so that developers can build datasets suitable for training content moderation models. These datasets typically contain images categorized into different classes associated with adult or explicit content, which can then be used to train... -
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Product Dropdown For Contact Form 7
Be sure that every product has selected category to get product.
...Personalization: Businesses can customize the dropdown options based on their product offerings, allowing users to feel like their needs are being catered to specifically. Data Collection: By knowing which products generate the most interest or inquiries, businesses can gain valuable insights into customer preferences and market trends. https://wordpress.org/plugins/product-dropdown-for-contact-form-7/
