Search Results for "data mining"
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Showing 337 open source projects for "data mining"
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1
Orange Data Mining
Orange: Interactive data analysis
... for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight! When teaching data mining, we like to illustrate rather than only explain. -
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AWESOME DATA SCIENCE
Awesome Data Science repository to learn and apply for real world
An open source Data Science repository to learn and apply towards solving real world problems. This is a shortcut path to start studying Data Science. Just follow the steps to answer the questions, "What is Data Science and what should I study to learn Data Science?" Data Science is one of the hottest topics on the Computer and Internet farmland nowadays. People have gathered data from applications and systems until today and now is the time to analyze them. The next steps are producing... -
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Umbrel
A beautiful personal server OS for Raspberry Pi or any Linux distro
Run your personal server with a Bitcoin and Lightning node in your home, self-host open source apps like Nextcloud and Matrix to break away from big tech, and take full control of your data. For free. All our interactions on the internet today are mediated by a few companies who offer “free” services in exchange for storing our data on their servers to spy on us. Running a personal server fundamentally changes that. You and your family’s photos, videos, files, notes, passwords, everything, have... -
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Scrapy
A fast, high-level web crawling and web scraping framework
Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD. Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core. Scrapy does the rest, and can be used in a number of applications. It can be used for data mining, monitoring... -
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5
Element Android
A glossy Matrix collaboration client for Android
Element Android is a glossy Matrix collaboration client for Android, based on a new Android SDK fully written in Kotlin. A total rewrite of Riot-Android, Element is an all-in-one secure chat app made possible through the open global Matrix network. It is a messenger that allows users to talk to anyone regardless of their app, while providing unparalleled privacy and security. It protects conversations from data-mining and ads with proper end-to-end encryption, so you can feel totally secure... -
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Element
A glossy Matrix collaboration client for the web
Element, formerly known as Vector and Riot, is a glossy Matrix collaboration client built using the Matrix React SDK. It offers teams, friends and organizations a secure, all in one chat app that is protected from pesky ads and data mining methods. All communications are done through the open global Matrix network, secured with end-to-end encryption. Element gives you all the services you need from a chat app: group chat, video calls, file sharing and more-- all done securely and in total... -
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Dawarich
Self-hostable alternative to Google Timeline
Dawarich is a command-line tool (likely Ruby-based) for transforming and analyzing Arabic text data with normalization, diacritic handling, segmentation, and morphological tokenization. Designed for text mining and NLP workflows in Arabic-language contexts. -
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Superalgos
Free, open-source crypto trading bot, automated bitcoin trading
Free, open-source crypto trading bot, automated bitcoin/cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments. Superalgos is not just another open-source project. We are an open and welcoming community nurtured and incentivized with the project's native Superalgos (SA) Token, building an open trading intelligence network. You... -
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ProM is the comprehensive, extensible framework for process mining. Process Mining deals with the a-posteriori analysis of (business) processes using enactment logs.
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10
tidytext
Text mining using tidy tools
tidytext brings tidy data principles to text mining by converting text into a tidy data frame format. It provides tools for tokenization, sentiment analysis, n‑gram creation, and term‑document matrices, enabling interoperability with dplyr, ggplot2, and other tidyverse workflows. -
11
Colly
Elegant Scraper and Crawler Framework for Golang
Colly provides a clean interface to write any kind of crawler/scraper/spider. With Colly you can easily extract structured data from websites, which can be used for a wide range of applications, like data mining, data processing or archiving. Clean API. Fast (>1k request/sec on a single core) Manages request delays and maximum concurrency per domain. Automatic cookie and session handling. Sync/async/parallel scraping. Distributed scraping. Caching, automatic encoding of non-unicode responses... -
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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 languages... -
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Holochain
The current, performant & industrial strength version of Holochain
Holochain is a post-blockchain framework for building agent-centric, distributed applications. Instead of using global consensus, Holochain enables each agent (user) to maintain their own local state while validating actions with a shared set of rules. This allows for scalable, secure, and resilient apps where data is owned and controlled by users. Ideal for social apps, cooperatives, and data sovereignty platforms, Holochain focuses on enabling collaboration without central servers or miners... -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
... query workloads. According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments. -
15
vite-wallet
The desktop Wallet of Vite
We believe in a future where many blockchains will grow to serve different needs. Easy transfer of data and assets between blockchains will become increasingly important. We designed Vite to bridge every blockchain in a decentralized way. ViteX adopts the most cutting-edge decentralized exchange technology by implementing on-chain order matching, settlement, mining, and dividends distribution through smart contracts on Vite’s blockchain. Assets on ViteX are secured not in the exchange... -
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Web data extraction (web data mining, web scraping) tool. It leverages well proved XML and text processing techologies in order to easely extract useful data from arbitrary web pages.
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17
unMinable
unMinable is a command-line based cryptocurrency mining tool
unMinable is a command-line based cryptocurrency mining tool designed for efficient and user-friendly Bitcoin mining. It provides real-time hardware detection, mining process control, balance management, and automated withdrawal functionality. The software is designed to interact with Firebase to fetch and store user balances, withdrawals, and user-related data securely. The terminal allows users to start and monitor their mining progress, view their balances, and withdraw their mined funds... -
18
UnBBayes
Framework & GUI for Bayes Nets and other probabilistic models.
UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports Bayesian networks, influence diagrams, MSBN, OOBN, HBN, MEBN/PR-OWL, PRM, structure, parameter and incremental learning. Please, visit our wiki (https://sourceforge.net/p/unbbayes/wiki/Home/) for more information. Check out the license section (https://sourceforge.net/p/unbbayes/wiki/License/) for our licensing policy. -
19
Open Crypto Tracker
Bitcoin Alts portfolio tracker, email / text / alexa / telegram alerts
100% FREE / open source / PRIVATE cryptocurrency portfolio tracker. Email / text / alexa / telegram price alerts, price charts, mining calcs, leverage / gain / loss / balance stats, news feeds +more. Privately track Bitcoin / Ethereum / unlimited cryptocurrencies. Customize as many assets / markets / alerts / charts as you want. Over 50 Exchanges / 40 Trading Pairs Supported (exchanges / pairings list at bottom of README.txt): https://tinyurl.com/ct-readme Nearly Unlimited Assets... -
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DocWire SDK
Award-winning modern data processing SDK in C++20
DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims... -
21
Decaleon
Multilingual Esperanto Translator, Word Dictionary, Vocabulary Trainer
Esperanto Translator - translates sentences from 12 languages to Esperanto - VB.NET project based on XML - 30-60,000 words in each language: extensible Vocabulary for English, French, Spanish, Portoguese, Italian, German, Danish, Swedish, Greek, Russian, Polish and Croatian including context and synonym data as well as semantic group information. It includes an any-to-any multilingual Dictionary and Vocabulary Trainer (learning niveaus/logic themes/semantic groups) and uses UTF8/Unicode... -
22
stkpp
C++ Statistical ToolKit
... classes in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites. -
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joy of text
Editor with scripting language, security features & system interfaces.
Jot was developed general purpose editor for large CAD files. It's command-driven UI requires no mode switching and hence requires fewer keystrokes to get a typical job done. It is particularly useful for checking and cross-referencing between several source, intermediate and output files - a common requirement for CAD work. But jot's usefulness doesn't stop there. It's sophisticated search features can, for example, be used for interactive data mining or automating the extraction... -
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General Knowledge Machine Project
Intellect Modeling Kit: assisting research, diagnostics, consulting
...; * Memorizing - new knowledge item creation; * Abstraction – building objects representing typical signs of similar objects groups, data mining. KM is not intended to replace human experts, it is built to multiply abilities. Machine should not be responsible for decisions. The IMK is designed to create ready-to-use software applications using simple text files. Any human knowledge can be uploaded to KM by expert not familiar with software coding. Demos present in kit. Good luck! -
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Karate Club
An API Oriented Open-source Python Framework for Unsupervised Learning
Karate Club is an unsupervised machine learning extension library for NetworkX. Karate Club consists of state-of-the-art methods to do unsupervised learning on graph-structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science...
