Search Results for "tasks"
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Showing 245 open source projects for "tasks"
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Recaf
The modern Java bytecode editor
Recaf is an open-source Java bytecode editor that simplifies the process of editing compiled Java applications. To make things easier Recaf abstracts away much of the internal class file format. Difficult tasks such as updating stack-frames are done automatically. Along with additional features to assist in the process of editing classes, Recaf is the most feature-rich free bytecode editor available. While Recaf makes bytecode editing a more simple process it does not mean you should dive head-first into editing compiled Java applications without understanding some basic programming concepts and the Java class file architecture. -
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Task Scheduler
Cooperative multitasking for Arduino, ESPx, STM32, nRF and more
Cooperative multitasking for Arduino, ESPx, STM32 and other microcontrollers. A lightweight implementation of cooperative multitasking (task scheduling). An easier alternative to preemptive programming and frameworks like FreeRTOS. You mostly do not need to worry about pitfalls of concurrent processing (races, deadlocks, livelocks, resource sharing, etc.). The fact of cooperative processing takes care of such issues by design. -
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Garden Skills
ConardLi's open-source Skills collection, featuring web design
Garden Skills is a collection of modular AI skills designed to enhance agent workflows through structured and reusable capabilities. It focuses on organizing skills as composable units that can be combined to solve complex tasks efficiently. The repository emphasizes maintainability and scalability, allowing developers to build systems that evolve over time like a growing “garden” of capabilities. Each skill encapsulates a specific function, making it easier to reuse across projects and contexts. The system supports integration with agent frameworks, enabling automation and orchestration of tasks. -
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Albumentations
Fast image augmentation library and an easy-to-use wrapper
...Albumentations efficiently implements a rich variety of image transform operations that are optimized for performance, and does so while providing a concise, yet powerful image augmentation interface for different computer vision tasks, including object classification, segmentation, and detection. Albumentations supports different computer vision tasks such as classification, semantic segmentation, instance segmentation, object detection, and pose estimation. Albumentations works well with data from different domains: photos, medical images, satellite imagery, manufacturing and industrial applications, Generative Adversarial Networks. ... -
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Everything Claude Code
Complete Claude Code configuration collection
Everything Claude Code is a community-driven collection of Claude Code skills, workflows, and examples that accelerate the adoption of Anthropic’s Claude models for real-world developer tasks, ranging from project scaffolding to code generation and testing automation. The repository curates reproducible templates that demonstrate how Claude Code agents can participate in end-to-end developer journeys such as building new features, adhering to coding standards, generating documentation, and automating refactor patterns. ... -
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Google Cloud Dataflow Template Pipelines
Cloud Dataflow Google-provided templates for solving data tasks
DataflowTemplates is the source repository for Google-provided Dataflow templates that are intended to solve large-scale in-cloud data processing tasks without requiring users to build everything from scratch in a full development environment. The repository is centered on templated pipelines powered by Google Cloud Dataflow and Apache Beam, making it easier to run common integration and movement jobs such as data import, export, backup, restore, and bulk API operations. Its structure shows support for multiple generations of templates, including v1 and v2 implementations, as well as related metadata, YAML assets, plugins, and Python components that support broader template execution and maintenance. ... -
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Bumblebee
Pre-trained Neural Network models in Axon
Bumblebee provides pre-trained Neural Network models on top of Axon. It includes integration with Models, allowing anyone to download and perform Machine Learning tasks with few lines of code. The best way to get started with Bumblebee is with Livebook. Our announcement video shows how to use Livebook's Smart Cells to perform different Neural Network tasks with a few clicks. You can then tweak the code and deploy it. First, add Bumblebee and EXLA as dependencies in your mix.exs. EXLA is an optional dependency but an important one as it allows you to compile models just-in-time and run them on CPU/GPU. -
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Claude Cookbooks
A collection of notebooks/recipes showcasing ways of using Claude
Claude Cookbooks is a curated collection of practical examples, notebooks, and implementation guides that demonstrate how to effectively use Claude’s API across a wide range of tasks. It serves as both a learning resource and a reference library, helping developers understand how to apply AI capabilities such as classification, summarization, and retrieval-augmented generation in real-world scenarios. The repository includes structured examples for integrating Claude with external tools, databases, and APIs, showcasing how to extend its functionality beyond basic text generation. ... -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
...Its design supports unsupervised or semi-supervised paradigms, making it especially powerful for scenarios where only “normal” data is readily available and defects must be detected without exhaustive labeling. Combined with its CLI and integration with optimization tools like OpenVINO, it’s suitable for both research and edge deployment tasks. -
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OmniTools
Self-hosted collection of powerful web-based tools for everyday tasks
OmniTools is a self-hosted web application that bundles a large collection of everyday utilities into a single clean interface you can run on your own infrastructure. It’s designed to replace the random assortment of “free online tools” people use for quick tasks, while avoiding ads, tracking, and the need to upload sensitive files to unknown servers. A key design choice is that file processing happens entirely on the client side, meaning your data stays in your browser instead of being sent to the backend. The tool catalog spans both technical and non-technical needs, including image, video, audio, PDF, text, date/time, math, and data format utilities like JSON/CSV/XML helpers. ... -
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Easy3D
Efficient library for processing 3D data
Easy3D is a lightweight, easy-to-use, and efficient library for processing and rendering 3D data, implemented in C++ with Python bindings. It is designed for tasks such as 3D modeling, geometry processing, and rendering, emphasizing simplicity and efficiency. Easy3D serves as a valuable tool for research, education, and the development of sophisticated 3D applications, providing a solid foundation for handling 3D data. -
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Hacks
A collection of hacks and one-off scripts
...Rather than being a single cohesive application, it serves as a repository of practical command-line tools that can be used independently or combined into workflows. The scripts cover a wide range of tasks, including URL manipulation, parameter replacement, data extraction, and reconnaissance automation. Many of the tools in the repository are designed for efficiency and simplicity, enabling users to perform complex operations with minimal overhead. It is particularly popular among security researchers and developers who need quick, flexible solutions for niche problems. -
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nature-skills
Skill that conforms to the academic expression and scientific research
nature-skills is an open-source collection of AI agent skills and structured workflows designed to enhance autonomous reasoning and tool usage in AI assistants. The project organizes reusable “skills” that agents can invoke for different operational contexts, helping AI systems perform specialized tasks more consistently and effectively. It appears to focus on modularity and interoperability, allowing skills to be combined, extended, or integrated into broader agent ecosystems. The repository is designed to support experimentation with multi-step reasoning, task automation, and contextual tool orchestration for agentic AI systems. ... -
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XcodeProj
Read, update and write your Xcode projects
XcodeProj is a library written in Swift for parsing and working with Xcode projects. It's heavily inspired by CocoaPods XcodeProj and xcode. Using swift-sh you can automate project-tasks using scripts, for example, we can make a script that keeps a project’s version key in sync with the current git tag that represents the project’s version. Future adaption could easily include determining the version and bumping it automatically. If so, we recommend using a library that provides a Version object. Want to start using XcodeProj? ... -
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Pysheeet
Python Cheat Sheet
Pysheeet is a community-driven collection of Python code snippets covering common patterns and tasks like sockets, file I/O, data structures, and more. Each snippet is concise and battle-tested, designed to save coding time and reduce boilerplate. With documentation hosted on Read the Docs and an active GitHub repo, it’s a go-to resource for Python developers. -
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ants
ants is a high-performance and low-cost goroutine pool in Go
...To mitigate that kind of situation, all you need to do is to import ants package and submit all your tasks to a default pool with fixed capacity, activated when package ants is imported. -
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core.async
Facilities for async programming and communication in Clojure
core.async is a Clojure library that brings asynchronous programming and communication to both Clojure and ClojureScript, enabling developers to write concurrent code using channels, go blocks, and CSP-style constructs rather than callbacks or threads. This project follows the version scheme MAJOR.MINOR.COMMITS where MAJOR and MINOR provide some relative indication of the size of the change, but do not follow semantic versioning. In general, all changes endeavor to be non-breaking (by moving... -
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PromptingTools.jl
Streamline your life using PromptingTools.jl
...It focuses on reducing the complexity of prompt creation by introducing templating systems, macros, and reusable functions that standardize how prompts are constructed and executed. The library provides a family of ai* functions that handle tasks such as generation, embeddings, classification, and data extraction, all following a consistent structure. It supports multiple backends, including OpenAI-compatible APIs and local models such as those served through Ollama, allowing users to switch providers without rewriting prompts. The toolkit also includes advanced capabilities such as asynchronous execution, routing, OCR, and experimental agent workflows, making it suitable for both simple and complex AI applications. -
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Amazon Braket Python Schemas
A library that contains schemas for Amazon Braket
Amazon Braket Python Schemas is an open source library that contains the schemas for Braket, including intermediate representations (IR) for Amazon Braket quantum tasks and offers serialization and deserialization of those IR payloads. Think of the IR as the contract between the Amazon Braket SDK and Amazon Braket API for quantum programs. Schemas for the S3 results of each quantum task. Schemas for the device capabilities of each device. The preferred way to get Amazon Braket Python Schemas is by installing the Amazon Braket Python SDK, which will pull in the schemas. ... -
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n8n Workflows
All of the workflows of n8n i could find (also from the site itself)
This repository aggregates a well-organized collection of community-submitted automation workflows built for n8n, a fair-code, self-hostable automation tool. It serves as an index for discovering ready-made flows to automate tasks across multiple services and platforms. 2,057 workflows with meaningful, searchable names. 365 unique integrations across popular platforms. 29,445 total nodes with professional categorization. Quality assurance - All workflows analyzed and categorized. -
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nuwa-skill
Mental models, decision heuristics, expressing DNA
...It provides a framework for organizing capabilities into reusable units that can be invoked dynamically depending on context or user input. The project is designed to integrate with AI systems, enabling them to perform structured tasks such as data retrieval, processing, or interaction with external services. It emphasizes modularity and extensibility, allowing developers to create new skills and plug them into the system without disrupting existing functionality. Nuwa Skill also supports orchestration, enabling multiple skills to work together to accomplish more complex objectives. ... -
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My Python Eggs
Python Examples
...Rather than being a single cohesive application, it functions as a repository of utilities that demonstrate how Python can be used to solve everyday problems and automate repetitive tasks. The scripts cover a wide range of topics, including file management, networking, system monitoring, web scraping, and even simple games, making it a versatile learning resource. Many of the programs are designed to reduce manual workload by automating tasks such as renaming files, scanning directories, or checking system information. ... -
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HSharp
HSharp is a library used to analyze markup language like HTML
...The repo acts as a sandbox for testing these patterns in real code, which is helpful if you want to see how the author structures services, models, or infrastructure concerns. Because it’s source-first, you can cherry-pick the parts you want into your own .NET apps and ignore the rest. The idea is to make everyday C# tasks (initialization, configuration, helpers) feel more concise and expressive. Over time it can grow into a personal toolkit for the author and anyone who likes the same idioms. -
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Cursor Cookbook
This repo contains small examples for building with Cursor
Cursor Cookbook is a curated collection of examples, patterns, and best practices for building applications with Cursor and AI-assisted coding tools. It provides practical recipes that demonstrate how to integrate AI into development workflows effectively. The repository focuses on real-world use cases such as automation, code generation, and system design. It helps developers understand how to structure prompts and workflows for consistent results. The examples are designed to be easily... -
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recipes
Some code snippets for sharing
...Other examples explore Protocol Buffers, RPC, reactors, SSL, strings, threading, and top-k processing. Java and Python material appears alongside code written for lower-level systems and network programming tasks. The collection is intended for sharing reference implementations, experiments, puzzles, and practical coding patterns across multiple technical areas.
