Search Results for "tasks" - Page 5
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Showing 254 open source projects for "tasks"
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Resurrecting Project in LinUtil
Automated Arch Linux Install
Resurrecting Project in LinUtil is an automated Arch Linux installation project created by Chris Titus that wraps Arch’s traditionally manual install process in a guided script. It aims to make Arch more approachable by handling tasks like disk partitioning, base system installation, and desktop environment selection through a menu-driven interface. The repository includes configuration presets and scripts that not only install the system but also set up a curated software stack and sensible defaults. Over time, the project evolved and was eventually archived in favor of a newer, streamlined Arch install script, but ArchTitus remains available as a reference for its original approach. ... -
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Python-Spider
Python3 web crawler practice
Python-Spider is a repository intended to teach or provide examples for writing web spiders / crawlers in Python — part of a broader learning and resource collection by its author. The code and documentation are oriented toward beginners or intermediate learners who want to learn how to fetch, parse, and extract data from websites programmatically. As part of the author’s public learning-path repositories, python-spider likely includes examples of HTTP requests, HTML parsing, maybe... -
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CO3D (Common Objects in 3D)
Tooling for the Common Objects In 3D dataset
...The dataset includes RGB images, depth maps, masks, and camera poses for each frame, along with pre-defined training, validation, and testing splits for both few-view and many-view reconstruction tasks. -
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DeepPavlov
A library for deep learning end-to-end dialog systems and chatbots
...It has comprehensive and flexible tools that let developers and NLP researchers create production-ready conversational skills and complex multi-skill conversational assistants. Use BERT and other state-of-the-art deep learning models to solve classification, NER, Q&A and other NLP tasks. DeepPavlov Agent allows building industrial solutions with multi-skill integration via API services. -
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ARC-AGI
The Abstraction and Reasoning Corpus
ARC-AGI is a benchmark dataset and experimental framework designed to evaluate and advance artificial general intelligence by testing systems on abstract reasoning tasks that require human-like problem-solving abilities. It consists of a curated set of tasks where models must infer patterns from input-output examples and apply those rules to new unseen cases, without relying on memorization or prior training data. The dataset is structured as grid-based puzzles, where each task requires understanding transformations such as symmetry, counting, or spatial manipulation. ... -
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ulttiny
tiny User Level Threads library
The ulttiny library is small, easy to use and very fast. It's optimized especially for scenarios where tasks and task groups are dynamically and concurrently created on the fly. -
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libsu
A complete solution for apps using root permissions
...Attention is given to security and correctness—avoiding resource leaks, handling timeouts, and containing elevated operations to explicit scopes. For apps that legitimately need privileged automation or maintenance tasks, libsu becomes the backbone that keeps the “root” parts predictable and testable. -
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libwdi
Windows Driver Installer library for USB devices
...The library abstracts away many of the complexities of USB device enumeration and driver deployment on Windows systems, such as creating a list of devices, preparing appropriate driver files, and invoking the operating system’s driver installation mechanics, so your software doesn’t have to re-implement these low-level tasks. It provides a clean API that includes functions to detect driverless USB devices, prepare driver packages, install drivers programmatically, and handle logging and error codes reliably. Projects integrate this library into custom installers, automated provisioning scripts, or hardware management solutions where users need seamless driver setup without manual steps. -
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UAP Common Extensions (UCX)
Utilities Library for C
With this library we provide useful data structures and algorithms for common programming tasks in the C language. -
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UnboundID LDAP SDK for Java
A Java-based LDAP API
A fast, comprehensive, and easy-to-use Java API for communicating with LDAP directory servers and performing related tasks like reading and writing LDIF, encoding and decoding data using base64 and ASN.1 BER, and performing secure communication. -
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AL-IV
ALFOUR Programming language. Simple, safe, power, multi-platform.
A programming language AL-IV (ALFOUR) is a high-level imperative object oriented programming language with minimal introduction level, easy porting to any platform claiming a very high level of safety and stability, with a controllable level of code protection, high efficiency of an executable code, full independence from a target platform, minimal enter level. -
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Promise Fun
Promise packages, patterns, chat, and tutorials
Promise Fun is a curated reference collection centered on JavaScript promises, asynchronous patterns, and related utility packages. It serves as an index to numerous focused modules created for common promise-based programming tasks. The collection includes tools for concurrency control, mapping, queues, retries, delays, timeouts, debouncing, throttling, filtering, and asynchronous iteration. Its documentation also explains practical patterns for solving recurring asynchronous programming problems. One example shows why promise-returning functions must be created lazily when limiting concurrency instead of constructing all promises in advance. ... -
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Prompt Engineering Interactive Tutorial
Anthropic's Interactive Prompt Engineering Tutorial
...The course leans heavily on realistic failure modes (ambiguity, hallucination, brittle instructions) and shows how to iteratively debug prompts the way you would debug code. Lessons include building prompts from scratch for common tasks like extraction, classification, transformation, and step-by-step reasoning, with checkpoints that let you compare your outputs against solid baselines. You’ll also practice advanced patterns such as tool use, constrained generation, and response validation so outputs are trustworthy and machine-consumable. -
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Frevo
Frevo is probably the simplest tool for evolutionary design
FREVO is an open-source framework developed in Java to help engineers and scientists in evolutionary design or optimization tasks. The major feature of FREVO is the componentwise decomposition and separation of the key building blocks for each optimization tasks. We identify these as the problem definition, solution representation and the optimization method. This structure enables the components to be designed separately allowing the user to easily swap and evaluate different configurations and methods or to connect an external simulation tool. ... -
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Glumpy
Python+Numpy+OpenGL, scalable and beautiful scientific visualization
Glumpy is a Python library that simplifies the development of high-performance, interactive OpenGL visualizations. It abstracts complex OpenGL tasks into Pythonic constructs, making it easier for scientists, artists, and developers to harness the power of the GPU for real-time rendering and data visualization. Glumpy is particularly well-suited for rapid prototyping of graphical applications, and its integration with NumPy and shader programming makes it a powerful tool for both research and creative exploration. -
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Metatheory.jl
General purpose algebraic metaprogramming
Metatheory.jl is a general purpose term rewriting, metaprogramming and algebraic computation library for the Julia programming language, designed to take advantage of the powerful reflection capabilities to bridge the gap between symbolic mathematics, abstract interpretation, equational reasoning, optimization, composable compiler transforms, and advanced homoiconic pattern matching features. The core features of Metatheory.jl are a powerful rewrite rule definition language, a vast library... -
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learn2learn
A PyTorch Library for Meta-learning Research
Learn2Learn is a PyTorch-based library focused on meta-learning and few-shot learning research. It provides reusable components and meta-learning algorithms, making it easier to build, train, and evaluate models that can quickly adapt to new tasks with minimal data. Learn2Learn is widely used in research for tasks such as few-shot classification, reinforcement learning, and optimization. -
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ELADMIN-WEB
front-end source code, project based on Spring Boot 2.7.18
...The broader ELADMIN stack connects with Spring Boot, Spring Data JPA, Spring Security, Redis, and other back-end services. The web project provides the administrative interface that users interact with for system management tasks. It is useful for developers who want a ready-made Vue admin template tied to a Java enterprise back end. Overall, it serves as the UI layer for building permission-based dashboards, CRUD screens, operational tools, and internal management systems. -
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Penetration Testing Tools
A collection of more than 170+ tools, scripts, cheatsheets
...Many entries include short usage notes, common command examples, and links to upstream projects or writeups, turning the repo into both a toolbox and a practical learning library. The collection emphasizes tooling that is easy to run in lab environments and often points to small scripts and one-file utilities that accelerate common tasks like service discovery, credential harvesting, or privilege checks. -
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Sheeeeeeeeet
Sheeeeeeeeet is a Swift library for creating menus
Sheeeeeeeeet is a UIKit library that lets you create menus that can be presented as custom action sheets, context menus, alert controllers, or in any way you like. Sheeeeeeeeet comes with many item types (standard items, buttons, titles, toggles, etc.) and can be extended with your own custom item types. Since I have personally moved over to SwiftUI, this repository is no longer under active development. I will however gladly merge any PRs that add value to it or fixes problems with new iOS... -
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iJEPA
Official codebase for I-JEPA
...The design scales naturally with Vision Transformer backbones and flexible masking strategies, and it trains stably at large batch sizes. i-JEPA’s predictions are made in embedding space, which is computationally efficient and better aligned with downstream discrimination tasks. The repository provides training recipes, data pipelines, and evaluation code that clarify which masking patterns and architectural choices matter most. -
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React Projects
Collection of React example / tutorial projects
...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. Because every project focuses on a narrow set of concepts, learners can clone a single folder, run it, and grasp the idea without wading through a monolith. The examples are structured to be approachable yet idiomatic, encouraging good habits while staying close to what developers actually build. ... -
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DIG
A library for graph deep learning research
...It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. Our goal is to enable researchers to easily implement and benchmark algorithms. -
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conc
Better structured concurrency for go
Conc is a Go library for managing structured concurrency, simplifying the development of concurrent applications with high performance. -
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Learning Prompt
Free prompt engineering online course
Learning-Prompt is a curated repository of prompts, techniques, and instructional patterns designed to help people construct better prompts for AI systems, including generation, reasoning, and debugging tasks. It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. The project also includes meta-guidance: reflections on prompt failures, tips for prompt tuning, ways to mitigate model bias or misinterpretation, and how to adapt prompts for different AI capabilities. ...
