Search Results for "tasks" - Page 76
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Showing 3767 open source projects for "tasks"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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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.
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Gentoo for Unrooted and Rooted Android
Gentoo for All Android ARM, based on EPREFIX
...The option EPREFIX of Gentoo prepends semi-automatically /data/data/com.spartacusrex.spartacuside/gentoo_armv6l to all paths, at compile time. Limited to ARM (similar to armel/raspian). I am using gentooandroid at work, for everyday tasks (firefox, pdflatex, gnucash, sshfs, ...). The installation needs 1.8Go free space at least, on my phone it currently takes 6 Go. Installation instructions: https://sf.net/p/gentooandroid/wiki -
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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. -
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CheckinPanel
Automated check-in panel
checkinpanel is a self-hosted web panel that automates daily “check-in” tasks for various online services, turning tedious sign-ins and routine actions into scheduled jobs. It centralizes account credentials and cookies in one dashboard, then runs tasks on a cron-like schedule so they execute reliably without user intervention. The project emphasizes ease of deployment—commonly via Docker—and provides extensible task definitions so new sites can be added or customized. ... -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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Comet-VideoConverter
Comet video converter
Comet-VideoConverter is a program or rather an interface that will help us to work easier in the video conversion using FFMPEG to be able to convert the video, Comet-VideoConverter is the front end of the useful line conversion tool Commands, offering an easy and friendly interface for the user, is a project that is in trial version but that same is very stable and functional when doing the conversion tasks. -
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Command Line Parser CLR NetStandard
The best C# command line parser that brings standardized
The Command Line Parser Library offers CLR applications a clean and concise API for manipulating command line arguments and related tasks, such as defining switches, options and verb commands. It allows you to display a help screen with a high degree of customization and a simple way to report syntax errors to the end user. Include wiki documentation with lot of examples ready to run online. Support Source Link and symbolic nuget package snupkg. Tested in Windows, Linux Ubuntu 18.04 and Mac OS. ... -
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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. -
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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. -
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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. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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MAE (Masked Autoencoders)
PyTorch implementation of MAE
...The encoder processes only the visible patches, while a lightweight decoder reconstructs the full image—making pretraining computationally efficient. After pretraining, the encoder serves as a powerful backbone for downstream tasks like image classification, segmentation, and detection, achieving top performance with minimal fine-tuning. The repository provides pretrained models, fine-tuning scripts, evaluation protocols, and visualization tools for reconstruction quality and learned features. -
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Tensorflow Transformers
State of the art faster Transformer with Tensorflow 2.0
Imagine auto-regressive generation to be 90x faster. tf-transformers (Tensorflow Transformers) is designed to harness the full power of Tensorflow 2, designed specifically for Transformer based architecture. These models can be applied on text, for tasks like text classification, information extraction, question answering, summarization, translation, text generation, in over 100 languages. Images, for tasks like image classification, object detection, and segmentation. Audio, for tasks like speech recognition and audio classification. Faster AutoReggressive Decoding, TFlite support, creating TFRecords is simple. ... -
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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. ... -
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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. ... -
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MySQL Tutorial
Example-driven guide to MySQL
...Transaction control, indexes, and execution plans are explained with real queries so readers can see how design choices affect speed and integrity. The repository also touches on user management, permissions, backups, and common operational tasks that arise in production. Throughout, the emphasis is on clear SQL examples and short explanations that can be tested immediately in a local instance. It serves both as a learning track for newcomers and as a handy reference for developers who need to refresh core MySQL skills. -
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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. -
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PromptSource
Toolkit for creating, sharing and using natural language prompts
PromptSource is a toolkit for creating, sharing and using natural language prompts. Recent work has shown that large language models exhibit the ability to perform reasonable zero-shot generalization to new tasks. 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. ... -
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Deadliner
Deadliner helps you keep track of the time left for your deadline
Deadliner is a cross‑platform visual time‑management app (iOS/macOS/Android) that tracks deadlines, events, and tasks using countdown timers and Gantt‑style milestones. It focuses on visual progress and cloud syncing to fight procrastination. -
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Google Cloud Vision API examples
Sample code for Google Cloud Vision
The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. The repository demonstrates concrete image understanding use cases, such as landmark detection and mobile photo analysis with label and face detection, so developers can see how Vision API outputs are consumed in real interfaces and workflows. ... -
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Terminals Are Sexy
A curated list of Terminal frameworks, plugins & resources
...It pulls together high-quality links to terminal emulators, shells, prompts, plugins, fonts, color schemes, and command-line utilities, alongside learning materials for sharpening everyday CLI skills. The list favors practical, well-maintained projects and is organized so you can quickly discover alternatives for common tasks (navigation, search, networking, monitoring, text processing, and more). It also points to customization ideas—prompts, themes, and fonts—that help you craft a clear, legible, and pleasant environment. Because it’s a living list, contributions are encouraged, keeping entries current as tools evolve. If you spend time in a terminal—whether writing code, administering systems, or just automating chores—this is a single, convenient place to find better defaults and new favorites. -
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Autoclicker
Uses threaded tasks and allows for text spamming
A lightweight autoclicker that has the basic features of an autoclicker. Uses threaded tasks and allows for text spamming. -
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Texar-PyTorch
Integrating the Best of TF into PyTorch, for Machine Learning
Texar-PyTorch is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides a library of easy-to-use ML modules and functionalities for composing whatever models and algorithms. The tool is designed for both researchers and practitioners for fast prototyping and experimentation. Texar-PyTorch was originally developed and is actively contributed by Petuum and CMU in collaboration with other institutes. ... -
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PyTorch Handbook
The pytorch handbook is an open source book
...The repository functions as an online handbook that explains how to build, train, and evaluate neural network models using PyTorch. It includes tutorials and examples that demonstrate common deep learning tasks such as image classification, neural network design, model training workflows, and evaluation techniques. The material is written with a practical focus so that readers can follow along and run the provided examples successfully. Each tutorial is tested to ensure that the code runs correctly, making the repository particularly useful for beginners who want reliable learning materials. ... -
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GLIDE (Text2Im)
GLIDE: a diffusion-based text-conditional image synthesis model
...GLIDE includes advanced techniques such as classifier-free guidance, which improves the quality and alignment of generated images with the input text. The project also offers sampling scripts and utilities for exploring how diffusion models can be applied to multimodal tasks. As one of the early diffusion-based text-to-image systems, glide-text2im laid important groundwork for later advances in generative AI research. -
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Piano transcription
Task of transcribing piano recordings into MIDI files
...The system is implemented in Python (PyTorch) and is capable of accurate transcription of polyphonic piano recordings, even with complex passages and pedal techniques, making it suitable for classical piano music. By using this transcription tool, users can transform live performance audio (or recordings) into editable, machine-readable MIDI — enabling tasks such as analysis, editing, remixing, or generation of piano music. The authors used this system to build a large-scale classical piano MIDI dataset (see next project), but as a standalone tool it enables researchers, musicians, or hobbyists to transcribe their own piano recordings automatically. -
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Phantom Linux
Phantom Linux is the operating system of the future
Phantom Linux is a flexible and secure operating system that is themed in the likeness of your favorite environment for a smooth transition to Linux, opening up the door to a ton of free open source software and non to get your everyday tasks done. It has 4 versions: WindowsX, MacX, LinuX, and Feather (x86_64 and i686). Choose your favorite flavor in Files!
