Search Results for "extraction" - Page 15
Sort By:
Showing 779 open source projects for "extraction"
View related business solutions-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
1
WBBlades
WBBlades is a tool set based on Mach-O file parsing
WBBlades is a toolset based on Mach-O file parsing, including one-click detection for the app (supports OC and Swift), package size analysis (supports a single static library/dynamic library), point-to-point crash analysis (analyze system crash log, based on symbol file and without symbol files), Class automatic extraction and Hook capability based on Mach-O file. It mainly uses __Text assembly code analysis, architecture extraction, DYSM file stripping, symbol table stripping, and crash file (ips) analysis technology. Support big method/small method parsing and iOS 15 above about dyld_chained_Fixups processing. -
2
gocrawl
Polite concurrent web crawler library for Go with flexible hooks
gocrawl is a lightweight web crawling library written in the Go programming language that enables developers to build custom web crawlers and data extraction tools. gocrawl focuses on providing a minimal yet powerful crawling engine that can be easily extended and adapted for different web scraping or indexing tasks. It is designed to be polite when accessing websites by respecting crawling rules such as robots.txt policies and applying crawl delays for each host. It executes requests concurrently using Go’s goroutines, allowing efficient and scalable page retrieval across multiple URLs. ... -
3
Duckling
Language, engine, and tooling for testing composable language rules
...Designed for use in conversational agents, chatbots, and natural language processing applications, Duckling converts fuzzy user input into a consistent and machine-readable format. It features multi-language support and is widely used in production environments requiring robust entity extraction. -
4
MachineLearningStocks
Using python and scikit-learn to make stock predictions
MachineLearningStocks is a Python-based template project that demonstrates how machine learning can be applied to predicting stock market performance. The project provides a structured workflow that collects financial data, processes features, trains predictive models, and evaluates trading strategies. Using libraries such as pandas and scikit-learn, the repository shows how historical financial indicators can be transformed into machine learning features. The model attempts to predict... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
lxspider
Educational Python web scraping case collection for many sites
lxSpider is a collection of web scraping examples designed primarily for learning and experimentation with data extraction techniques. It gathers numerous crawler implementations that demonstrate how to collect data from a wide range of websites and online services. It focuses heavily on practical cases that illustrate how different platforms handle requests, authentication parameters, and anti-scraping protections. lxSpider includes examples targeting areas such as e-commerce platforms, social media services, content sites, research databases, and information portals. ... -
6
Synonyms
Chinese synonyms, chat robot, intelligent question and answer toolkit
...Better Chinese synonyms, chatbot, intelligent question and answer toolkit. synonymsCan be used for many tasks in natural language understanding, text alignment, recommendation algorithms, similarity calculation, semantic shifting, keyword extraction, concept extraction, automatic summarization, search engines, etc. Print synonyms in a friendly way for easy debugging. "Synonyms Cilin" was compiled by Mei Jiaju and others in 1983, and now widely used is "Synonyms Cilin Extended Edition" maintained by the Social Computing and Information Retrieval Research Center of Harbin Institute of Technology. ... -
7
cnn-for-image-retrieval is a research-oriented project that demonstrates the use of convolutional neural networks (CNNs) for image retrieval tasks. The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that...
-
8
ruia
Async Python framework for fast and flexible web scraping spiders
Ruia is an asynchronous web scraping micro-framework built for Python that focuses on simplicity, speed, and flexibility when creating web crawlers. Ruia is powered by Python’s asyncio library along with aiohttp, enabling developers to perform concurrent network requests efficiently and scrape data from websites with minimal overhead. Ruia follows a “write less, run faster” philosophy, emphasizing concise code and streamlined spider development. It provides a structured approach to building... -
9
FixRes
Reproduces results of "Fixing the train-test resolution discrepancy"
FixRes is a lightweight yet powerful training methodology for convolutional neural networks (CNNs) that addresses the common train-test resolution discrepancy problem in image classification. Developed by Facebook Research, FixRes improves model generalization by adjusting training and evaluation procedures to better align input resolutions used during different phases. The approach is simple but highly effective, requiring no architectural modifications and working across diverse CNN... -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
10
Manga Rikai is the first consumer-ready multi-page manga OCR/translation engine. It is a spiritual successor to Capture2Text, Visual Novel Reader, and Textractor. At the moment, the engine can capture and translate single text box, detect all text boxes in a page or as many pages as you want. Not only that, you can edit the text, save your progress, and even export your work as an HTML file. Got problems? Join our discord: https://discord.com/invite/BuNuanw
-
11
Laravel Mix
The power of webpack, distilled for the rest of us
Laravel Mix provides a clean, fluent API for defining basic webpack build steps for your applications. Mix supports several common CSS and JavaScript pre-processors. If you've ever been confused about how to get started with module bundling and asset compilation, you will love Laravel Mix! Webpack is an incredibly powerful module bundler that prepares your JavaScript and assets for the browser. The only understandable downside is that it requires a bit of a learning curve. In an effort to... -
12
ResidueFinder is available for use, modified from MutationFinder. Residue finder, mutation, amino acid.
-
13
NLP.js
An NLP library for building bots
...NLP Manager, a tool able to manage several languages, the Named Entities for each language, the utterances, and intents for the training of the classifier, and for a given utterance return the entity extraction, the intent classification and the sentiment analysis. -
14
CC-Net
Tools to download and cleanup Common Crawl data
cc_net provides tools to download, segment, clean, and filter Common Crawl to build large-scale text corpora, including monolingual datasets and the multilingual CC-100 collection introduced in the associated paper. It includes pipelines to fetch snapshots, extract text, de-duplicate, identify language, and apply quality filtering based on heuristics and language models. The outputs are intended for pretraining language models and for creating standardized corpora that can be reproduced or... -
15
OpenDiablo2
An open source re-implementation of Diablo 2
This is an open-source re-implementation of the classic action-RPG Diablo II (including its expansion) — or rather, a game engine that can run it. The engine is written in Go and cross-platform, aiming to bring the feel of the original 2000s-era ARPG to modern systems. Because the project does not include the original game assets, users must supply their legally purchased copy of Diablo II / Lord of Destruction; the engine then loads the MPQ archives and runs the game. The project is... -
16
Marathon -GUI Test Runner Web, Swing, FX
Marathon supports testing of Java/Swing and Java/Fx applications.
...Currently, Marathon supports JRuby script models for recording the test scripts.Marathon test runner generates Allure test reports.Marathon allows for grouping of test cases.It also has an option of inserting modules while recording(in MarathonITE while recording). It allows tester to inset checklist while recording and also takes screen capture and annotate it in playing the test cases. Extraction of code into modules and inserting it is very easy using marathon.It has different themes of UI which attracts tester to do work on it. Object mapping is quite simple and configuring is very easy for tester to understand and do the work. Debugging of test scripts is also easy and has script console which takes selenium commands. ... -
17
Tashkeela processed
Tashkeela dataset cleaned and normalized.
...The cleaning process includes removing the XML tags and strange symbols, as well as fixing diacritics errors. After that, the tokenization is performed while focusing on the extraction of the Arabic words. The result is a space-separated tokens file, where the words and the numbers are separated, but not the sequences of punctuation (ie, an ending parenthesis followed by a dot). The sentence segmentation is done at usual punctuations such as dots, commas, interrogation/exclamation marks, and line end as well. ... -
18
Search and replace operations on file content accross multiple files. Recursive operations within entire directory trees. FAR comes with support for regular expressions (regex) over multiple lines, automatic backup and various character encodings. Run grep like extractions to condense or rearrange sources, or perform bulk file renaming.
-
19
AICtools
Workflow and set of tools for Automated Imagery Classification
AICtools is a GIS workflow and set of tools to facilitate Automated Imagery Classification (AIC) and analysis of surface features over time. Allows bulk processing of large data sets, including automated metadata processing/filtering, compressed archive extraction and file manipulation, raster band compositing, pre-processing, mosaicking, clipping. Automates a subset of operations involved in classification of satellite imagery and the associated raster calculations used for time trend analysis. -
20
DeText
A Deep Neural Text Understanding Framework
DeText is a Deep Text understanding framework for NLP-related ranking, classification, and language generation tasks. It leverages semantic matching using deep neural networks to understand member intents in search and recommender systems. As a general NLP framework, DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks. -
21
DeepCluster
Deep Clustering for Unsupervised Learning of Visual Features
...DeepCluster was one of the early successes in unsupervised visual feature learning, demonstrating that clustering-based reformulation can rival supervised baselines for many downstream tasks. The repository includes code for feature extraction, clustering, training loops, and evaluation benchmarks like linear probes. Because of its simplicity and modular design, DeepCluster has inspired many later methods. -
22
A collection of small utilities for: data extraction (text or binary files), data buffering, message queue control, column addition, date/time manipulation, and data recovery testing.
-
23
Delta ML
Deep learning based natural language and speech processing platform
...It helps you to train, develop, and deploy NLP and/or speech models. Use configuration files to easily tune parameters and network structures. What you see in training is what you get in serving: all data processing and features extraction are integrated into a model graph. Text classification, named entity recognition, question and answering, text summarization, etc. Uniform I/O interfaces and no changes for new models. -
24
COINTELPRO Vault
COINTELPRO FBI Vault from vault.fbi.gov extract/archive
A zip archive of FBI COINTELPRO Projects and Misc... unzip *vault.zip to extract in Unix/Linux/Minix/Solaris/FreeBSD/GNU/AIX... -
25
FavFreak
Favicon hash–based reconnaissance tool for security research
FavFreak is an open source reconnaissance tool designed to assist security researchers, bug bounty hunters, and penetration testers in identifying web technologies using favicon hashes. It works by taking one or more URLs as input and automatically retrieving the favicon.ico file associated with each target website. After fetching the favicon, it calculates a hash value and organizes the scanned domains, subdomains, or IP addresses according to these hashes. FavFreak then compares the...
