Search Results for "data collection algorithm" - Page 4
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Showing 338 open source projects for "data collection algorithm"
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Kotest
Powerful, elegant and flexible test framework for Kotlin
... conditional evaluation, powerful data-driven testing, and more. The Kotest assertions library is a Kotlin-first multi-platform assertions library with over 300 rich assertions. It comes equipped with collection inspectors, non-deterministic test helpers, soft assertions, modules for arrow, json, kotlinx-datetime and much more. -
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TanStack Query
Powerful asynchronous state management, server-state utilities
Toss out that granular state management, manual refetching and endless bowls of async-spaghetti code. TanStack Query gives you declarative, always-up-to-date auto-managed queries and mutations that directly improve both your developer and user experiences. Writing your data fetching logic by hand is over. Tell TanStack Query where to get your data and how fresh you need it to be and the rest is automatic. It handles caching, background updates and stale data out of the box with zero... -
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Blurhash
Library to show colorful blurry placeholders while your content loads
A library to show colorful blurry placeholders while your content loads. Does your designer cry every time you load their beautifully designed screen, and it is full of empty boxes because all the images have not loaded yet? Does your database engineer cry when you want to solve this by trying to cram little thumbnail images into your data to show as placeholders? Replace boring grey boxes with beautiful blurhash states and the designers will be happy. Blurhash strings are short enough... -
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PaddleX
PaddlePaddle End-to-End Development Toolkit
..., the validation set and the test set. Therefore, we need to divide the above data. Using the paddlex command, the data set can be randomly divided into 70% training set, 20% validation set and 10% test set. If you use the PaddleX visualization client for model training, the data set division function is integrated in the client, and you do not need to use command division by yourself. -
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Darts
A python library for easy manipulation and forecasting of time series
darts is a Python library for easy manipulation and forecasting of time series. It contains a variety of models, from classics such as ARIMA to deep neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. The library also makes it easy to backtest models, combine the predictions of several models, and take external data into account. Darts supports both univariate and multivariate time series and models. The ML-based models can... -
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OpenTelemetry Collector distributions
OpenTelemetry Collector Official Releases
High-quality, ubiquitous, and portable telemetry to enable effective observability. OpenTelemetry is a collection of APIs, SDKs, and tools. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. Create and collect telemetry from your services and software, then forward it to a variety of analysis tools. OpenTelemetry integrates with many popular libraries and frameworks, and supports code-based... -
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Elide
Elide is a Java library that lets you stand up a GraphQL/JSON-API
Model-driven {json:api} & GraphQL web services for CRUD and Analytics. Elide is a Java library that enables you to stand up JSON API or GraphQL web services in 4 simple steps. Define a JPA annotated model including relationships to other models using Java, Kotlin, Groovy, and other JVM languages. Control access to fields and entities through a declarative, intuitive permission syntax. Make instances of your new model accessible through a top level collection or restrict access only through... -
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Generative AI Examples
Generative AI Examples is a collection of GenAI examples
Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness. -
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Micrometer Application Metrics
App observability facade for the most popular observability tools
Micrometer provides a simple facade over the instrumentation clients for the most popular observability systems, allowing you to instrument your JVM-based application code without vendor lock-in. Think SLF4J, but for observability. Micrometer provides vendor-neutral interfaces for timers, gauges, counters, distribution summaries, and long task timers with a dimensional data model that, when paired with a dimensional monitoring system, allows for efficient access to a particular named metric... -
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URQL GraphQL
GraphQL client with which you add on features like normalized caching
... as dynamic and data-heavy apps through "Normalized Caching". urql can be understood as a collection of connected parts and packages. When we only need to install a single package for our framework of choice. We're then able to declaratively send GraphQL requests to our API. All framework packages — like urql (for React), @urql/preact, @urql/svelte, and @urql/vue — wrap the core package, @urql/core, which we can imagine as the brain of urql with most of its logic. -
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URQL
The highly customizable and versatile GraphQL client
... GraphQL, urql becomes your primary data layer and can handle content-heavy pages through "Document Caching" as well as dynamic and data-heavy apps through "Normalized Caching". urql can be understood as a collection of connected parts and packages. When we only need to install a single package for our framework of choice. -
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Uncertainty Baselines
High-quality implementations of standard and SOTA methods
Uncertainty Baselines is a collection of strong, well-documented training pipelines that make it straightforward to evaluate predictive uncertainty in modern machine learning models. Rather than offering toy scripts, it provides end-to-end recipes—data input, model architectures, training loops, evaluation metrics, and logging—so results are comparable across runs and research groups. The library spans canonical modalities and tasks, from image classification and NLP to tabular problems... -
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Web Experience Toolkit
Open source code library for building innovative websites
Web Experience Toolkit (WET): Open source code library for building innovative websites that are accessible, usable, interoperable, mobile-friendly and multilingual. This collaborative open source project is led by the Government of Canada. A collection of flexible and themeable templates and reusable components. A collaborative open source project led by the Government of Canada. HTML5-first approach (leveraging native HTML5 support and filling support gaps with “polyfills”) Supporting a wide... -
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Absinthe
The GraphQL toolkit for Elixir
Absinthe is the GraphQL toolkit for Elixir, an implementation of the GraphQL specification built to suit the language's capabilities and idiomatic style. If you're new to GraphQL, we suggest you read up a bit on GraphQL's foundational principles before you dive into Absinthe. Absinthe's functionality generally falls into two broad areas. Defines the structure of data entities and the relationships between, as well as the available queries, mutations, and subscriptions, using an elegant... -
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Gait Tracking With x-IMU
Foot tracking algorithm demonstrated in Seb Madgwick's 3D Tracking
This repository provides the source code for a foot-tracking algorithm using an inertial measurement unit (IMU) attached to the foot, as demonstrated in Seb Madgwick’s “3D Tracking with IMU” video (March 2011). The method performs dead reckoning to integrate foot motion and corrects for drift at each foot strike (when the foot touches the ground) to reset error accumulation. The algorithm was part of gait analysis research, estimating foot trajectories in 3D over time. The repo is marked... -
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STLplus C++ library collection
C++ Library collection
Containers to extend STL: graph, tree, matrix, smart-pointer. Persistence (serialisation) of C++ data structures. Portability: subprocesses, TCP, file system. Reusable subsystems: library manager, message handler. Portable between OSs and compilers. Documentation is included in the download and is also available on the STLplus website http://stlplus.sourceforge.net. The headers are intended to be readable, so look at them too for usage information on each function and class. -
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Direct LiDAR-Inertial Odometry
A new lightweight LiDAR-inertial odometry algorithm
DLIO is a new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction. It features several algorithmic improvements over its predecessor, DLO, and was presented at the IEEE International Conference on Robotics and Automation (ICRA) in London, UK in 2023. -
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Octave Forge
A collection of packages providing extra functionality for GNU Octave
..., and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The Octave language is quite similar to Matlab so that most programs are easily portable. Refer to https://www.octave.org for more information. -
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The Generic Data Structures Library (GDSL) is a collection of routines for generic data structures manipulation. It is a portable and re-entrant library fully written from scratch in pure ANSI C. It is designed to offer for C programmers common data structures with powerful algorithms, and hidden implementation. Available structures are lists, queues, stacks, hash tables, binary trees, binary search trees, red-black trees, 2D arrays, permutations, heaps and interval heaps. GDSL is free...
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React Projects
Collection of React example / tutorial projects
This repository is a collection of small-to-medium React applications that showcase practical patterns, from stateful widgets to multi-page interfaces. Each project is self-contained and demonstrates specific techniques—hooks for state and effects, context for global state, custom hooks for reuse, and reducer patterns for complex updates. The codebases include common UI tasks like forms, modals, lists, filtered search, and pagination, along with data fetching and basic routing where appropriate... -
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Robin-Stocks API Library
This is a library to use with Robinhood Financial App
... or trading algorithm, and improve your programming skills. The supported APIs are Robinhood, Gemini, and TD Ameritrade. If you are contributing to this project and would like to use automatic testing for your changes, you will need to install pytest and pytest-dotenv. You will also need to fill out all the fields in .test.env. I recommend that you rename the file as .env once you are done adding in all your personal information. -
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gputils is a collection of tools for Microchip PIC microcontrollers. Its goal is to be fully compatible with Microchip's tools, MPASM, MPLINK, and MPLIB.
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Nano JSON
Lightweight, facility, high performance golang based game server
.... In fact, the nano application is a collection of Components, and a component is a bundle of handlers, once you register a component to nano, nano will register all methods that can be converted to Handler to nano service container. -
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Fuzzy machine learning framework
A library and a GUI front-end for fuzzy machine learning
...; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use. -
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Elite Planet Browser
Browse through the planets of the Elite game on various Z80 machines
First of all: this program is totally useless. But those of you who know and love the classic computer game "Elite" will maybe like it. The "Elite Planet Browser" is a little program for various classic Z80-based computers, written in C using the z88dk compiler (www.z88dk.org). It allows you to browse through the planet data of the Elite game on many old Z80-based computers. When the original game came out in 1984, many people wondered how it is possible to have detailed data of so many...
