Search Results for "common" - Page 11
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Showing 577 open source projects for "common"
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grab-site
Web crawler for archiving and backing up sites into WARC archives
...Users can dynamically apply ignore patterns during an active crawl, allowing them to skip problematic or unnecessary URLs that could slow down or block the archiving process. grab-site also provides predefined ignore sets for common site structures such as forums and other complex web platforms. Additional mechanisms like duplicate page detection help avoid re-crawling identical content. -
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pyntcloud
pyntcloud is a Python library for working with 3D point clouds
...Although it was built for being used on Jupyter Notebooks, the library is suitable for other kinds of uses. pyntcloud is composed of several modules (as independent as possible) that englobe common point cloud processing operations. -
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mlscraper
ML-based HTML scraper that learns extraction rules from examples
...Internally, the project processes HTML documents, identifies relevant elements in the DOM, and builds extraction logic based on statistical or heuristic analysis of the training samples. The result is a developer-oriented tool that aims to automate common scraping workflows. -
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Machine Learning Glossary
Machine learning glossary
Machine Learning Glossary is an open educational project that provides clear explanations of machine learning terminology and concepts through visual diagrams and concise definitions. The goal of the repository is to make machine learning topics easier to understand by presenting definitions alongside examples, visual illustrations, and references for further learning. It covers a wide range of topics including neural networks, regression models, optimization techniques, loss functions, and... -
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Envelop (Risk and Audits software)
Governance, Risk, and Compliance Management Tool
...Auditing and managing audit workflows is the main feature of this tool. Envelop is an audit software, that helps with internal and external audits to be managed. The common usage of this tool would be for audits, e.g. financial audits done by internal or external auditors. The overall structure follows this hierarchy : Process > Objective > Risk > Control > Test > Finding You can try the demo here https://demo.grcenvelop.com -
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DeepLearning Tutorial
Deep Learning Tutorial, Excellent Articles, Deep Learning Tutorial
...The repository organizes these materials into structured tutorials and references that allow readers to explore deep learning concepts progressively. Many of the resources include explanations of common model architectures used in computer vision and artificial intelligence. The project also collects recommended articles and educational documents that expand on deep learning theory and practical implementation strategies. -
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PromptSource
Toolkit for creating, sharing and using natural language prompts
...For instance, GPT-3 demonstrated that large language models have strong zero- and few-shot abilities. FLAN and T0 then demonstrated that pre-trained language models fine-tuned in a massively multitask fashion yield even stronger zero-shot performance. A common denominator in these works is the use of prompts which has gained interest among NLP researchers and engineers. This emphasizes the need for new tools to create, share and use natural language prompts. Prompts are functions that map an example from a dataset to a natural language input and target output. PromptSource contains a growing collection of prompts (which we call P3: Public Pool of Prompts). ... -
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cloud_enum
Multi-cloud OSINT tool for discovering public cloud resources
...It focuses on enumerating assets in Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform using keyword-based discovery techniques. It works by taking user-provided keywords and generating variations through mutation wordlists, then testing these combinations against common cloud service naming patterns. cloud_enum performs both HTTP probing and DNS lookups to identify resources such as storage buckets, cloud applications, and databases that may be exposed or accessible. cloud_enum uses concurrent processing to speed up scanning, enabling efficient enumeration of large numbers of possible resource names. ... -
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Rank-BM25
A Collection of BM25 Algorithms in Python
A collection of algorithms for querying a set of documents and returning the ones most relevant to the query. The most common use case for these algorithms is, as you might have guessed, to create search engines. -
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DeepStack
The World's Leading Cross Platform AI Engine for Edge Devices
DeepStack is an AI API engine that serves pre-built models and custom models on multiple edge devices locally or on your private cloud. DeepStack runs completely offline and independent of the cloud. You can also install and run DeepStack on any cloud VM with docker installed to serve as your private, state-of-the-art and real-time AI server. -
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ClointFusion
Cloint India Pvt. Ltd's (ClointFusion) Pythonic RPA (Automation)
...DOST is an interactive Blockly based no-code BOT Builder platform built and optimized for ClointFusion-based BOT building. We feel that automation is important for people other than programmers. Using DOST, even a common man can create a BOT in minutes. -
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AutoSub
A CLI script to generate subtitle files (SRT/VTT/TXT) for any video
AutoSub is a Python-based tool designed to automatically generate subtitles for video or audio content using speech recognition technology. It processes media files by extracting audio, transcribing spoken content, and generating subtitle files in standard formats. The tool supports multiple languages and can integrate with translation systems to produce subtitles in different languages. It is designed for automation, allowing batch processing of multiple media files. AutoSub leverages... -
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pyphoon
ASCII Art Phase of the Moon (Python version)
pyphoon is a small command-line program that renders the current Moon phase as detailed ASCII art directly in your terminal. It computes lunar ephemerides for a given date and location, then maps the illuminated portion onto characters to approximate shading with surprising fidelity. The tool supports showing past or future phases, so you can visualize how the Moon will look on specific dates without opening a browser or an app. It’s intentionally minimal: no GUI, no heavy dependencies, just... -
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AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related... -
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OpenEMM e-mail & marketing automation
software for email automation (newsletters, transaction mails, etc.)
This is an archive for old versions of OpenEMM. You will find the latest version of OpenEMM here: https://wiki.openemm.org OpenEMM is a browser-based enterprise application for email automation like info and marketing newsletters, transaction mails or multi-stage email campaigns. OpenEMM offers tons of features for professional users, among them: a great user interface, template-based HTML mailings, automatic bounce management, mail opening and link tracking, lots of graphical realtime... -
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Interpret-Text
State-of-the-art explainers for text-based machine learning models
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard. Interpret-Text builds on Interpret, an open source python package for training interpretable models and helping to explain blackbox machine learning systems. We have added extensions to support text models. Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results.... -
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The Common Event Driven Application Runtime (CEDAR) is set of software to design, code generate and run, event driven applications. This formalism is an extension of the Shlaer–Mellor method and executable UML, facilitating deployment of domains across multiple hosts, using networked bridges to process and pass events between them. Core technologies: XML, Python, Qt/PySide.
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FormatFuzzer
FormatFuzzer is a framework for generation and parsing of binary input
FormatFuzzer is a framework for high-efficiency, high-quality generation and parsing of binary inputs. It takes a binary template that describes the format of a binary input and generates an executable that produces and parses the given binary format. -
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TensorNetwork
A library for easy and efficient manipulation of tensor networks
...It abstracts networks as nodes and edges, then compiles efficient contraction orders across multiple numeric backends so users can focus on model structure rather than index bookkeeping. Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage experimentation and comparison. The library provides automatic path finding and cost estimation, exposing when contractions will explode in memory and suggesting better orders. Because it supports backends such as NumPy, TensorFlow, PyTorch, and JAX, the same model can run on CPUs, GPUs, or TPUs with minimal code changes. ... -
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Parakeet
PAddle PARAllel text-to-speech toolKIT
...In order to facilitate exploiting the existing TTS models directly and developing the new ones, Parakeet selects typical models and provides their reference implementations in PaddlePaddle. Further more, Parakeet abstracts the TTS pipeline and standardizes the procedure of data preprocessing, common module sharing, model configuration, and the process of training and synthesis. The models supported here include Text FrontEnd, end-to-end Acoustic models and Vocoders. -
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Vimplus
An automatic configuration program for vim
vimplus is an opinionated Vim “distribution” and automatic configuration program by chxuan which bundles a large number of plugins and configurations so that you can essentially install Vim once and have a fully-loaded development setup. Rather than starting with a bare .vimrc and gradually adding plugins, vimplus gives you a pre-configured environment that includes file explorers, completion, status lines, themes, and more. It includes a custom installer and update script, and places a lot... -
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Pandas TA
Python 3 Pandas Extension with 130+ Indicators
Technical Analysis Indicators - Pandas TA is an easy-to-use Python 3 Pandas Extension with 130+ Indicators. Pandas Technical Analysis (Pandas TA) is an easy-to-use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns. Many commonly used indicators are included, such as: Candle Pattern(cdl_pattern), Simple Moving Average (sma) Moving Average Convergence Divergence (macd), Hull Exponential Moving Average... -
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Glaxnimate
A simple vector graphics animation program
Glaxnimate is a vector graphics animation program which focuses on being quick and easy to use. It's designed to work well with short animations to show on the web, supporting several common web formats like GIF, WebP, Lottie, SVG, and others. -
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restless
A lightweight REST miniframework for Python
...Restless is BYOD (bring your own data) and hence, works with almost any ORM/data source. If you can import a module to work with the data & can represent it as JSON, Restless can work with it. Restless is small & easy to keep in your head. Common usages involve overriding just a few easily remembered method names. Total source code is an under a thousand lines of code. -
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Practice Python
Part of my daily plan for studying Python
...The tasks emphasize real coding over passive reading, nudging you to write, run, and iterate on solutions. Exercises commonly target strings, lists, dictionaries, control flow, functions, classes, and common algorithms, reinforcing idiomatic Python patterns. Many problems are intentionally minimal in boilerplate so you can concentrate on logic and clarity. The collection is well suited to daily practice sessions or warm-ups before tackling more complex projects. It is also friendly for learners returning to Python after time away, helping reacquire muscle memory through repetition.
