Search Results for "data collection algorithm" - Page 19
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Showing 1563 open source projects for "data collection algorithm"
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NKTgLaw
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core implementation, REST/gRPC API, and 150+ client wrappers -
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Transformers in Time Series
A professionally curated list of awesome resources
Transformers in Time Series is a curated research repository that collects academic papers, code implementations, datasets, and learning resources related to transformer models for time series analysis. The project was created to systematically organize the rapidly growing research field that applies transformer architectures to time series modeling tasks. It compiles literature from major conferences and journals and categorizes them by application domains such as forecasting, anomaly... -
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ArangoDB-Community/pyArango
Python Driver for ArangoDB with built-in validation
PyArango is a Python driver for ArangoDB, a multi-model NoSQL database. It provides a Pythonic way to interact with ArangoDB, allowing developers to manage collections, execute AQL queries, and integrate ArangoDB's document, graph, and key-value storage models into Python applications. -
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XIAOJUSURVEY
Powerful survey system for creating, managing, and analyzing forms
Xiaoju Survey is an open source survey platform developed to support the creation, distribution, and analysis of questionnaires at scale. It provides a comprehensive system for designing surveys with various question types, allowing users to build flexible and structured forms suited for different data collection needs. Xiaoju Survey includes tools for managing survey workflows, enabling teams to organize responses and monitor participation efficiently. It also focuses on data analysis capabilities, helping users extract insights from collected responses through built-in reporting and visualization features. Xiaoju Survey is designed with extensibility in mind, allowing developers to customize or integrate it into existing systems. ... -
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Ediacaran Application
Applications with modular architecture
The Ediacaran application is designed using a modular architecture approach, meaning it is built as a collection of smaller, self-contained components (modules). Each module represents a distinct domain of the system and can evolve independently without disrupting the whole application. The modular structure of the Ediacaran application allows fine-grained control over how each module accesses data, external connections, and execution resources. -
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Speedcrypt File Encryption
A File Encryptor with many Options and Powerful Algorithms!
Speedcrypt is a software to encrypt your data that implements some of the most powerful and secure algorithms in the world. It also uses the most sophisticated password derivation techniques, with very robust HASH Functions. Speedcrypt implements libraries such as Bouncy Castle and others among the most used in the world of cryptography! Speedcrypt is a free program for encrypt the files which helps you to manage in a secure way. The files are encrypted using the best and most Secure... -
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BA_PY
BA_PY: Optimize Your Workflow with Python!
mbapy is a Python package that includes a collection of useful Python scripts as sub-modules, and it's goal is Basic for All in Python. mbapy primarily focus on data works, including data-retrieval, data-management, data-visualization, data-analysis and data-computation. It is built for both python-users and command-line-users. -
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Ballast is a tool for balancing user load across SSH servers that supports user-specific policies as well as traditional policies based on metrics such as CPU load. It includes a simple client, a lightweight data server, and a data collection agent.
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i-ncript
A portable, cross-platform data encryption app.
i-ncript is a portable data encryption app, designed for use with removable storage devices. It is portable as it does not require aninstaller to run, can execute on any drive, and can be quickly transferred to another device without an install/uninstall process. The focus on portability plays an important role in data security. The fact is, data is most vulnerable is when it is connected to the internet, and while many measures have been taken to ensure the safety of online data, an offline, portable data store is a far more simple yet far more effective method of data security. ... -
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PeriodicTable.jl
Periodic Table for Julians
...PeriodicTable.jl provides a Julia interface to a small database of element properties for all of the elements in the periodic table. In particular PeriodicTable exports a global variable called elements, which is a collection of Element data structures. -
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Breakpad
Mirror of Google Breakpad project
...Its flexible architecture enables developers to automate crash collection and reporting pipelines, making it a popular choice for large-scale software projects and products. -
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TensorHouse
A collection of reference Jupyter notebooks and demo AI/ML application
TensorHouse is a scalable reinforcement learning (RL) platform that focuses on high-throughput experience generation and distributed training. It is designed to efficiently train agents across multiple environments and compute resources. TensorHouse enables flexible experiment management, making it suitable for large-scale RL experiments in both research and applied settings. -
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FileDAG Storage
A distributed storage service built on the IPFS technology stack
...Not only does reduce data redundancy, it also saves bandwidth on network transmissions. Every advantage has its disadvantage, the downside is that data management has become more complex. First, the file or object management module needs to be abstracted on the basis of merkle-dag; second, the file cannot be deleted directly, only the data blocks that are no longer needed can be released through garbage collection. -
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LakhCleanAnalysis
Tools to analyze the Lakh Clean Midi Dataset
The goals of project are described in the web page https://lakhcleananalysis.sourceforge.io/ and in the YouTube video referenced here. Presently, we are analyzing the note onset distribution, the pitch class distribution, and the midi program assignments for the entire dataset. Each of these entities are represented by a separate vector for each midi file. These vectors were clustered using the kmeans and HDBSCAN algorithms. The vectors (midi files) were projected into a two dimensional... -
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ggthemes
Additional themes, scales, and geoms for ggplot2
ggthemes is an R package that provides extra themes, scales, and geoms for ggplot2. It supplements the default ggplot2 offerings by allowing users to apply special themes (e.g., inspired by classic publications, external visualization styles), additional scale functions, and specialized geoms or color scales. It is often used to make ggplot2 plots adhere to aesthetic styles from famous news outlets, scientific journals, or presentation decks. Additional color scales and palettes for discrete... -
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IPyPlot
Fast and efficient plotting of images inside Python Notebooks
IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images. -
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Deep Learning Models
A collection of various deep learning architectures, models, and tips
This repository collects clear, well-documented implementations of deep learning models and training utilities written by Sebastian Raschka. The code favors readability and pedagogy: components are organized so you can trace data flow through layers, losses, optimizers, and evaluation. Examples span fundamental architectures—MLPs, CNNs, RNN/Transformers—and practical tasks like image classification or text modeling. Reproducible training scripts and configuration files make it... -
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OpenCarenet CHE
Enabling community health workers to collect health data efficiently
OpenCarenet CHE is a robust and user-friendly application tailored for community health workers, facilitating seamless data collection, management, and reporting. With its mobile data collection capabilities, offline functionality, and interoperability with DHIS2, the app empowers health professionals to efficiently track patient information, aggregate primary data, and generate detailed health reports, even in areas with limited internet access. Its multilingual support and configurable language settings enhance communication and usage in diverse cultural contexts, while features such as local patient management, transparent reference and geolocation functionalities contribute to improved patient care and holistic community health management. -
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pattern_classification
A collection of tutorials and examples for solving machine learning
...The project aims to help learners understand the process of building predictive models by presenting structured explanations and practical examples. It includes notebooks and guides that demonstrate data preprocessing, feature extraction, model training, and evaluation techniques used in machine learning workflows. The repository also covers algorithms such as Bayesian classification, logistic regression, neural networks, clustering methods, and ensemble models. In addition to algorithm tutorials, the project contains supplementary resources such as dataset collections, visualization examples, and links to recommended books and talks. ... -
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python-fxxk-spider
Collection of 100+ Python web scraping projects and crawler examples
python-fxxk-spider is a curated collection of Python web scraping and crawler projects gathered in a single repository for reference and learning. It aggregates many independent scraping examples that target a wide range of websites, online services, and public data sources. Instead of being a single crawler tool, it functions as a catalog of ready-made Python spider implementations that demonstrate different scraping techniques. python-fxxk-spider includes scrapers for social media, e-commerce platforms, job listings, music services, video platforms, and various content sites. ... -
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axflow
The TypeScript framework for AI development
Axflow is a modular TypeScript framework designed to support the development of natural language powered AI applications. The framework provides a collection of independent modules that can be adopted individually or combined to create a full AI application stack. Its core SDK enables developers to integrate language model capabilities into web applications while maintaining strong modular design principles. Additional components support data ingestion, evaluation, and model interaction workflows that are commonly required when building production AI systems. ... -
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The Algorithms - C #
Collection of various algorithms in mathematics, machine learning
...Each algorithm implementation is written to be readable and well documented so that students and developers can understand how the algorithm works internally. The repository is designed primarily as an educational resource that helps programmers study algorithm design and computational thinking. Contributors from around the world continually add new implementations and improvements, making the repository a collaborative learning project. -
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UDP Image Uploader
UDP Image Uploader with Serpent Encryption Algorithm in CBC Mode
Easily transfer an encrypted image from your PC to the display connected to the microcontroller via Wi-Fi using the UDP protocol. *Improved version is available at https://sourceforge.net/projects/esl-management-system/ User guide is available at https://medium.com/@Northstrix/how-to-stream-encrypted-images-over-udp-71f5e2ab1b0c * Credit for photo: https://www.pexels.com/photo/bird-s-eye-view-of-city-during-daytime-2815170/ -
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Alink
Alink is the Machine Learning algorithm platform based on Flink
Alink is Alibaba’s scalable machine learning algorithm platform built on Apache Flink, designed for batch and stream data processing. It provides a wide variety of ready-to-use ML algorithms for tasks like classification, regression, clustering, recommendation, and more. Written in Java and Scala, Alink is suitable for enterprise-grade big data applications where performance and scalability are crucial. -
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javascript-algorithms
JavaScript implementations of computer science algorithms
javascript-algorithms is a repository that implements a comprehensive collection of classic data structures and algorithmic solutions in JavaScript — including sorting, searching, graph algorithms, dynamic programming, and more. It serves as a learning and reference resource for developers wanting to understand how standard algorithms can be expressed in JavaScript, bridging the gap between theoretical algorithm knowledge and practical implementation usable in web or Node.js contexts. ...