Showing 976 open source projects for "tasks"

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  • 1
    gev

    gev

    Gev is a lightweight, fast non-blocking TCP network library

    ...Asynchronous read and write. SO_REUSEPORT port reuse support. Automatically clean up idle connections. Support WebSocket/Protobuf, custom protocols. Support for scheduled tasks and delayed tasks. High-performance web socket server.
    Downloads: 0 This Week
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  • 2
    albert_zh

    albert_zh

    Implementation of A Lite Bert For Self-Supervised Learning Language

    ...The project includes several model variants, such as tiny, small, base, large, and xlarge-style releases, giving users options for speed, size, and accuracy tradeoffs. It also provides guidance for fine-tuning downstream tasks such as sentence-pair semantic similarity and Chinese classification benchmarks. The repository includes support paths for TensorFlow, PyTorch conversion, Keras loading, TensorFlow 2.0 loading, and TensorFlow Lite deployment for mobile scenarios. Overall, it is useful for Chinese NLP developers who need compact pretrained language models for classification, similarity, and other language understanding tasks.
    Downloads: 0 This Week
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  • 3
    OpsManage

    OpsManage

    Automated operation and maintenance platform

    Automated operation and maintenance platform: code and application deployment CI/CD, asset management CMDB, scheduled task management platform, SQL audit | rollback, task scheduling, on-site WIKI. A code deployment, application deployment, scheduled tasks, and equipment asset management platform. Welcome to star or fork my open source project. If you need to quote the project code in your own project, please declare the agreement and copyright information in the project. Programming language, Python3.6 + HTML + JScripts. Front-end web framework, Bootstrap. Backend Web Framework, Django. ...
    Downloads: 3 This Week
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  • 4
    ECS Deploy

    ECS Deploy

    Powerful CLI tool to simplify Amazon ECS deployments, rollbacks, etc.

    ...Support for complex task definitions (e.g. multiple containers & task role), easily redeploy the current task definition (including docker pull of eventually updated images), deploy new versions/tags or all containers or just a single container in your task definition, scale up or down by adjusting the desired count of running tasks, add or adjust containers environment variables. Run one-off tasks from the CLI, automatically monitor deployments in New Relic.
    Downloads: 0 This Week
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  • 5
    Gym

    Gym

    Toolkit for developing and comparing reinforcement learning algorithms

    Gym by OpenAI is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents, everything from walking to playing games like Pong or Pinball. Open source interface to reinforce learning tasks. The gym library provides an easy-to-use suite of reinforcement learning tasks. Gym provides the environment, you provide the algorithm. You can write your agent using your existing numerical computation library, such as TensorFlow or Theano. It makes no assumptions about the structure of your agent, and is compatible with any numerical computation library, such as TensorFlow or Theano. ...
    Downloads: 0 This Week
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  • 6
    Real-ESRGAN

    Real-ESRGAN

    Real-ESRGAN aims at developing Practical Algorithms

    ...The repository includes inference and training scripts, a model zoo with different pretrained models (including general and anime-oriented variants), and support for batch and arbitrary scaling, making it adaptable for diverse enhancement tasks. It emphasizes usability with utilities that handle alpha channels, gray/16-bit images, and tiled inference for large inputs, and can be run via Python scripts or portable executables.
    Downloads: 146 This Week
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  • 7
    BEVFormer

    BEVFormer

    Implementation of BEVFormer, a camera-only framework

    3D visual perception tasks, including 3D detection and map segmentation based on multi-camera images, are essential for autonomous driving systems. In this work, we present a new framework termed BEVFormer, which learns unified BEV representations with spatiotemporal transformers to support multiple autonomous driving perception tasks. In a nutshell, BEVFormer exploits both spatial and temporal information by interacting with spatial and temporal space through predefined grid-shaped BEV queries. ...
    Downloads: 0 This Week
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  • 8
    Reinforcement-learning

    Reinforcement-learning

    Implementation of Reinforcement Learning Algorithms. Python, OpenAI

    ...The project collects popular approaches such as dynamic programming, Monte Carlo methods, temporal difference learning, Q-learning, SARSA, deep Q-networks, and policy gradient techniques, often demonstrated with Python and OpenAI Gym environments so users can experiment with agents learning in simulated tasks. For each algorithm category, the repository pairs conceptual descriptions with runnable code and often illustrated exercises that help solidify understanding by bridging theory with practice. It’s structured to serve learners progressing from basic tabular methods to function approximation and deep learning extensions, making it suitable for students, researchers, or practitioners exploring reinforcement learning fundamentals.
    Downloads: 1 This Week
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  • 9
    Facexlib

    Facexlib

    FaceXlib aims at providing ready-to-use face-related functions

    facexlib is a PyTorch-based library providing ready-to-use face-related functions, including detection, alignment, recognition, and more. It integrates state-of-the-art open-source methods for various face processing tasks.​
    Downloads: 13 This Week
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  • 10
    Hacker Scripts

    Hacker Scripts

    Based on a true story

    Hacker Scripts is a cheeky collection of small automation scripts and language ports collected under the tagline “Based on a true story.” The repository gathers playful utilities (originally shell and Ruby scripts) that automate short, real-world tasks — for example, sending a quick “late at work” text when SSH sessions are active, firing off an automated “I’m sick / working from home” email on certain mornings, or even talking to a networked coffee machine to start brewing at precisely the right moment. The README explains the origin story and highlights several canonical scripts and provides usage notes such as required environment variables and cron examples for scheduling. ...
    Downloads: 464 This Week
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  • 11
    Cancelable Async Flows

    Cancelable Async Flows

    Cancelable Async Flows (CAF)

    CAF (Cancelable Async Flows) is a small utility that brings cooperative cancellation to JavaScript async workflows. It wraps async generators or promise-returning functions so they can respond to a cancel signal and halt work early, preventing wasted CPU and stray side effects. The library encourages a disciplined pattern: pass a token into your task, periodically check it, and unwind gracefully when cancellation is requested. This approach avoids brittle timeouts and “fire-and-forget” leaks...
    Downloads: 0 This Week
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  • 12
    Darknet

    Darknet

    Convolutional Neural Networks

    ...The repository provides pre-trained models, configuration files, and tools for training custom object detection models. With GPU acceleration via CUDA and OpenCV integration, it achieves high performance in image recognition tasks. Its simplicity, combined with powerful capabilities, has made Darknet one of the most influential projects in the computer vision community.
    Downloads: 32 This Week
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  • 13
    MessageThrottle

    MessageThrottle

    A lightweight Objective-C message throttle and debounce library

    MessageThrottle is a runtime Objective-C library that allows developers to throttle or debounce Objective-C messages (method calls). It helps optimize performance by limiting the frequency of method executions, useful in scenarios like UI updates or event handling.
    Downloads: 0 This Week
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  • 14
    Fairseq

    Fairseq

    Facebook AI Research Sequence-to-Sequence Toolkit written in Python

    ...Models define the neural network architecture and encapsulate all of the learnable parameters. Criterions compute the loss function given the model outputs and targets. Tasks store dictionaries and provide helpers for loading/iterating over Datasets, initializing the Model/Criterion and calculating the loss.
    Downloads: 0 This Week
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  • 15
    Official YOLOv7

    Official YOLOv7

    YOLOv7: Trainable bag-of-freebies sets new state-of-the-art

    ...YOLOv7 introduced training-time improvements that raise accuracy without increasing inference cost, which is why the project became important in real-time detection research. It supports multiple model sizes and related tasks such as object detection and instance segmentation through associated branches or weights. It is useful for researchers, engineers, and developers building detection systems for video, edge devices, robotics, analytics, and industrial vision.
    Downloads: 0 This Week
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  • 16
    Znap!

    Znap!

    Znap! Fast, easy-to-use tools for Zsh dotfiles & plugins

    ...Using Znap to manage your plugins can be as simple as putting this in your .zshrc file. Additionally, Znap makes it so that you actually need to have less in your .zshrc file, by automating several tasks for you. Note that the above example does not include any call to complist, compinit, or bashcompinit in the .zshrc file. That is because Znap will run these for you as needed. Znap compiles your scripts and functions in the background. This way, your shell will start up even faster next time! Znap automatically regenerates your comp dump file whenever you install or update a repo or change your .zshrc file. ...
    Downloads: 1 This Week
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  • 17
    Brigade

    Brigade

    Event-driven scripting for Kubernetes

    Brigade is a full-featured, event-driven scripting platform built on top of Kubernetes. It integrates with many different event sources, more are always being added, and it's easy to create your own if you need something specific. The best part is that Kubernetes is well-abstracted so even team members without extensive Kubernetes experience or without direct access to a cluster can be productive.
    Downloads: 1 This Week
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  • 18
    JServiceServer
    With the JServiceServer you can provide services over a network via http (like web services) without any XML-overhead. It has been developed for small computer systems like Java-microcontrollers.
    Downloads: 0 This Week
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  • 19
    vim-fugitive

    vim-fugitive

    A Git wrapper so awesome, it should be illegal

    ...It is designed to be composable with other tools and mappings, so Git workflows feel like a natural extension of editing. For many users, it effectively removes the need to switch to a terminal for everyday Git tasks.
    Downloads: 0 This Week
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  • 20
    pyTorch Tutorials

    pyTorch Tutorials

    Build your neural network easy and fast

    ...The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. Each example explains PyTorch’s dynamic computation graph, optimization techniques, and core abstractions in a way that is accessible and reproducible. Contributors and authors integrate visual and coded examples so readers can see both the theory and the implementation side-by-side.
    Downloads: 0 This Week
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  • 21
    Job-DSL Gradle Example

    Job-DSL Gradle Example

    An example Job DSL project that uses Gradle for building and testing

    ...It provides example DSL scripts that generate Jenkins jobs, and integrates them into a Gradle build for automated job generation, testing, and validation. Configurable job definitions (folders, branches, parameters). Tests for DSL scripts to validate generated XML. Integration with Gradle tasks for generation & testing. Support for seeding Jenkins or updating via REST API. Reuse and modularization of DSL logic.
    Downloads: 0 This Week
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  • 22
    V2RayCloudSpider

    V2RayCloudSpider

    V2RayCloudSpider

    V2RSS is an "ecological mining machine" that can perform vertical mining on global providers based on the SSPanel-Uim framework; it can generate bottom-up "aggregation collection" tasks for mainstream protocol headers; it can self-digest and Compared with proxypool , the output is purer and more reliable proxy nodes; it has powerful production features such as self-discovery and service self-healing.
    Downloads: 0 This Week
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  • 23
    OpenPrompt

    OpenPrompt

    An Open-Source Framework for Prompt-Learning

    Prompt-learning is the latest paradigm to adapt pre-trained language models (PLMs) to downstream NLP tasks, which modifies the input text with a textual template and directly uses PLMs to conduct pre-trained tasks. OpenPrompt is a library built upon PyTorch and provides a standard, flexible and extensible framework to deploy the prompt-learning pipeline. OpenPrompt supports loading PLMs directly from huggingface transformers. In the future, we will also support PLMs implemented by other libraries. ...
    Downloads: 0 This Week
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  • 24
    TARS

    TARS

    Markup builder on gulp

    ...TARS will be suitable for teams and individual developers. It solves the most routine cases associated with web development and brings you more pleasure from work. TARS is a framework for gulp, including a set of gulp-tasks. It allows for easy expansion (creating new tasks) and customization (modification of existing tasks), provides a comfortable architecture for tasks and watchers storage in the project. To bypass dependency installation for every TARS project, TARS-CLI was created. As such, TARS is not a npm package by itself. This decision was made so that everyone could comfortably customize the builder for themselves. ...
    Downloads: 1 This Week
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  • 25
    DeepLabv3 Plus

    DeepLabv3 Plus

    Encoder-Decoder with Atrous Separable Convolution

    ...The project also supports multi-GPU training, multiple backbones, learning rate schedules with step and cosine options, optimizer selection, and adaptive learning rate behavior based on batch size. It is useful for users who want a stronger semantic segmentation baseline than U-Net for scene-level segmentation tasks.
    Downloads: 0 This Week
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