Search Results for "tasks" - Page 71
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Showing 3767 open source projects for "tasks"
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Desktop.Robot
A library used to control your mouse and keyboard programmatically
This library helps you to automate tasks by simulating inputs (mouse and keyboards) programmatically, inspired in java.awt.Robot. I made this library because the dotnet SDK doesn't support simulation of mouse and keyboard input. The only way of input simulation in the standard framework is by using Windows. Forms that won't run on Linux or OSX. In order to use the method CreateScreenCapture, you will need to install some libraries. -
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...Orchid Studio is designed as a single user setup where the “admin” user does not require passwords for updates, installing software, and performing most administrative tasks. Other users will require passwords to be used for these functions. Passwords: root and admin initial passwords are “admin”, if you are security conscious you should change them.
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ReAct Prompting
Synergizing Reasoning and Acting in Language Models
...This alternating sequence of reasoning, acting, and observing results allows the model to gather additional information and refine its decision-making process during task execution. The framework has been tested on several benchmarks including question answering, fact verification, and interactive decision-making tasks, demonstrating improved performance compared to methods that rely only on reasoning. -
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Paper-with-Code-of-Wireless-comm
Paper-with-Code-of-Wireless-communication-Based-on-DL
...The project aims to help researchers and graduate students quickly find reproducible implementations of algorithms used in modern communication research. Wireless communication research has increasingly adopted deep learning techniques to address complex tasks such as channel estimation, resource allocation, signal detection, and modulation classification. However, many academic publications do not release source code, which makes it difficult for new researchers to reproduce results or experiment with the proposed methods. This repository addresses that challenge by organizing a large set of papers and linking them to available implementations and related research resources. -
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Free-Auto-GPT
Free AutoGPT enables autonomous AI tasks without paid APIs
Free Auto GPT is an open source project that delivers a simplified version of an autonomous AI agent capable of completing tasks independently. It allows users to run an AutoGPT-style system without relying on paid OpenAI APIs, making it more accessible for experimentation and personal use. Free Auto GPT can take a goal, break it into smaller steps, and execute actions in a loop to achieve results with minimal human input. Designed for ease of use, the project focuses on removing cost barriers while still demonstrating how autonomous agents function. ... -
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llm-chain
Rust crate for building chains in large language models
...Create reusable and easily customizable prompt templates for consistent and structured interactions with LLMs. Build powerful chains of prompts that allow you to execute more complex tasks, step by step, leveraging the full potential of LLMs. Provides seamless integration with LLaMa models, enabling natural language understanding and generation tasks with Facebook's research models. Incorporates support for Stanford's Alpaca models, expanding the range of available language models for advanced AI applications. Enhance your AI agents' capabilities by giving them access to various tools, such as running Bash commands, executing Python scripts, or performing web searches. -
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MMOCR
OpenMMLab Text Detection, Recognition and Understanding Toolbox
MMOCR is an open-source toolbox based on PyTorch and mmdetection for text detection, text recognition, and the corresponding downstream tasks including key information extraction. It is part of the OpenMMLab project. The toolbox supports not only text detection and text recognition, but also their downstream tasks such as key information extraction. The toolbox supports a wide variety of state-of-the-art models for text detection, text recognition and key information extraction. ... -
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Lightning Flash
Flash enables you to easily configure and run complex AI recipes
...Our tasks come loaded with pre-trained backbones and (where applicable) heads. You can view the available backbones to use with your task using available_backbones. With Flash, swapping among 40+ optimizers and 15 + schedulers recipes are simple. -
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Repo of Tree of Thoughts (ToT)
Implementation of "Tree of Thoughts
Language models are increasingly being deployed for general problem-solving across a wide range of tasks, but are still confined to token-level, left-to-right decision-making processes during inference. This means they can fall short in tasks that require exploration, strategic lookahead, or where initial decisions play a pivotal role. To surmount these challenges, we introduce a new framework for language model inference, Tree of Thoughts (ToT), which generalizes over the popular Chain of Thought approach to prompting language models and enables exploration over coherent units of text (thoughts) that serve as intermediate steps toward problem-solving. ... -
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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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CORL
High-quality single-file implementations of SOTA Offline
CORL (Collection of Reinforcement Learning Environments for Control Tasks) is a modular and extensible set of high-quality reinforcement learning environments focused on continuous control and robotics. It aims to offer standardized environments suitable for benchmarking state-of-the-art RL algorithms in control tasks, including physics-based simulations and custom-designed scenarios. -
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Easy Team Document Software for all ORGs
Tasks, Guides, Scripts, Collaborations, Knowledge Bases, Tech Supports
Have a look at the Video below for details. Refer Wiki Page for more instructions. I created this Virtual Machine for 2 reasons: 1. Very little initial setup work required to make a Team Document System live, within minutes. 2. This system should keep running for Years, without requiring any further Updates / Breakages. New Points: 1. If needed, change the utf8 line below, to match your language charset, in the corresponding php files, in the htdocs... -
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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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TXM
Unicode XML TEI text analysis platform
TXM is a free and open-source cross-platform Unicode & XML based text analysis environment and graphical client, supporting Windows, Linux and Mac OS X. It can also be used online as a J2EE standard compliant web portal (GWT based) with access control built in. DOWNLOAD LATEST VERSION OF TXM : http://textometrie.ens-lyon.fr/spip.php?rubrique61&lang=en TXM offers a comprehensive range of analysis tools (concordances, collocate search, frequency lists, etc.) based on the powerfull CQP... -
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RPA for Python
Python package for doing RPA
Python package for doing RPA. RPA for Python's simple and powerful API makes robotic process automation fun! You can use it to quickly automate away repetitive time-consuming tasks on websites, desktop applications, or the command line. See sample Python script, the RPA Challenge solution, and RedMart groceries example. To send a Telegram app notification, simply look up @rpapybot to allow receiving messages. To automate Chrome browser invisibly, use headless mode. To run 10X faster instead of normal human speed, use turbo mode (read the caveats!). ... -
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The Fish Cookbook
From Shell to Plate: Savor the Zest of Fish
The Fish Cookbook is a curated collection of practical recipes, tutorials, and user-contributed examples for the Fish shell, designed to help both beginners and intermediate users get the most out of Fish’s powerful and expressive scripting environment. Instead of treating Fish as a niche or simple alternative shell, this cookbook showcases real solutions for common shell tasks such as prompt customization, tab completion, scripting patterns, task automation, environment configuration, and tooling workflows. Through clear examples and “copy-paste ready” solutions, users can learn idiomatic Fish scripting techniques that leverage Fish’s modern features like universal variables, autosuggestions, and colorized prompts. ... -
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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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TaskMatrix
Enable sending and receiving images during chatting
TaskMatrix is an experimental AI ecosystem designed to connect large language models with visual foundation models, APIs, and external systems in order to complete multimodal tasks collaboratively. The project expands beyond traditional chatbot behavior by enabling AI systems to process, generate, edit, and reason about images while coordinating multiple specialized models simultaneously. Originally introduced alongside the Visual ChatGPT concept, TaskMatrix acts as an orchestration framework where a central language model delegates subtasks to domain-specific AI systems such as image generators, segmentation tools, or recognition models. ... -
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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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ParlAI
A framework for training and evaluating AI models
...A large set of built-in tasks and dataset loaders (with consistent preprocessing and metrics) makes it easy to compare methods under shared conditions. Tools for distributed training, mixed precision, and model zoos help scale experiments from laptops to multi-GPU clusters. -
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...It also enables to derogate to a program, typically by allowing hibernation to occur (typically used when leaving home for the vacations), suspend the current schedule until told you (typically used when performing administration tasks), but also shut down the Diskstation conditionally, typically once network or disk activity are below a given threshold (typically used when streaming videos or music to a TV or performing a backup to an external disk). You may install this software using DSM's Package Center (3rd Party provider http://www.cphub.net/).
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SmartGPT
A program that provides LLMs with ability to complete complex tasks
SmartGPT is an experimental autonomous agent framework built to help large language models tackle complex tasks with minimal or no additional user input. It works by decomposing larger objectives into smaller steps and gathering information from the internet and other outside sources as needed. The project is written in Rust and emphasizes modularity, allowing developers to compose different “Autos” depending on the workflow they want to build. -
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aqueduct LLM
Aqueduct allows you to run LLM and ML workloads on any infrastructure
...Aqueduct is an open-source MLOps framework that allows you to write code in vanilla Python, run that code on any cloud infrastructure you'd like to use, and gain visibility into the execution and performance of your models and predictions. Aqueduct's Python native API allows you to define ML tasks in regular Python code. You can connect Aqueduct to your existing cloud infrastructure (docs), and Aqueduct will seamlessly move your code from your laptop to the cloud or between different cloud infrastructure layers. Aqueduct provides a single interface to running machine learning tasks on your existing cloud infrastructure — Kubernetes, Spark, Lambda, etc. ... -
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PeaZip-for-Void
PeaZip is a free file archiver utility and rar extractor for Linux
PeaZip is a free file archiver utility and rar extractor for Linux, macOS, and Windows, which works with 200+ archive types and variants (7z, ace, arc, bz2, cab, gz, iso, paq, pea, rar, tar, wim, zip, zipx...), handles spanned archives (001, r01, z01...), supports multiple archive encryption standards, file hashing, exports tasks as console scripts. -
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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.
