Search Results for "task" - Page 30
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Showing 1769 open source projects for "task"
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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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Argo
ARGO is a program for analysis of electronic structure calculations
...This choice symbolizes the pursuit of making the best use of quantum chemical calculation results. ARGO facilitates the analysis of results obtained from quantum chemistry codes, specifically Gaussian. This task is achieved through a set of Python scripts. Our code is freely available throughout the academic community with the ambition to be used, to be supplemented by others, and become an indispensable tool for optimum utilization of quantum chemical calculation results. -
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Motrix
A full-featured download manager
...It’s got an interface that’s clean, simple and easy to use, plus a number of great features. It can handle up to 10 concurrent downloads, can support 64 threads in a single task, support speed limit and more! It comes in both Chinese and English with many other translations in the works, and has dark mode available. -
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Gaius.jl
Divide and Conquer Linear Algebra
Gaius.jl is a multi-threaded BLAS-like library using a divide-and-conquer strategy to parallelism, and built on top of the fantastic LoopVectorization.jl. Gaius spawns threads using Julia's depth-first parallel task runtime and so Gaius's routines may be fearlessly nested inside multi-threaded Julia programs. Gaius is not stable or well-tested. Only use it if you're adventurous. -
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covid19
Tokyo COVID-19 Task Force website
New coronavirus infectious disease control site. In Tokyo, in order to centrally announce the infection status in Tokyo, we received reports of outbreaks not only in the jurisdiction of the Tokyo Health Center but also in the cities with health centers (Machida City, Hachioji City) and 23 wards, and aggregated these. In Tokyo, we have set seven monitoring items for the new coronavirus infection, with the two pillars of "infection status" and "medical care provision system" in Tokyo. Every... -
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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Spektral
Graph Neural Networks with Keras and Tensorflow 2
...You can use Spektral for classifying the users of a social network, predicting molecular properties, generating new graphs with GANs, clustering nodes, predicting links, and any other task where data is described by graphs. Spektral implements some of the most popular layers for graph deep learning. Spektral also includes lots of utilities for representing, manipulating, and transforming graphs in your graph deep learning projects. Spektral is compatible with Python 3.6 and above, and is tested on the latest versions of Ubuntu, MacOS, and Windows. ... -
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ScrapBot 1.40 64bits
Task automation software for accessing and manipulating website data.
ScrapBot is a task automation software that allows you to access, authenticate, extract, and insert data on any website. The software utilizes JavaScript to execute tasks, eliminating the need for server or additional software installations. The system can control the accessed webpage through JavaScript, and the entire navigation can be viewed in the program window. -
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DataGym.ai
Open source annotation and labeling tool for image and video assets
...Your image data can be imported into DATAGYM from your local machine, from any public image URL or directly from an AWS cloud S3 bucket. Machine learning teams spend up to 80% of their time on data preparation. DATAGYM provides AI-powered annotation functions to help you accelerate your labeling task. The Pre-Labeling feature enables turbo-labeling – it processes thousands of images in the background within a very short time. -
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unit-minions
AI R&D Efficiency Improvement Research: Do-It-Yourself Training LoRA
"AI R&D Efficiency Improvement Research: Do-It-Yourself Training LoRA", including Llama (Alpaca LoRA) model, ChatGLM (ChatGLM Tuning) related Lora training. Training content: user story generation, test code generation, code-assisted generation, text to SQL, text generation code. -
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Leon
Leon is your open-source personal assistant
Leon is an open-source personal AI assistant platform that lets users run a conversational agent locally or on their own servers, providing an alternative to cloud-hosted assistants with a focus on privacy, extensibility, and modular components. It’s designed to process natural language queries and perform tasks such as information retrieval, task automation, scheduling, and custom workflows defined by the user. The architecture emphasizes modularity: you can plug in different language models, intent recognizers, or action handlers to tailor Leon for specific domains like productivity, home automation, or developer tooling. Because it runs independently of third-party cloud services, Leon gives users full control over their data and system behavior, which is especially important for privacy-conscious users and organizations. -
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E5SubBot
Telebot for E5 Renewal
A simple Telegram bot for E5 renewal. -
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Node and Express Tutorial
Node Tutorial and Projects Course
Node Express Course is a project-based learning repository covering server-side JavaScript with Node.js and Express. It begins with Node fundamentals before introducing routing, middleware, requests, responses, and Express application structure. Practical projects include a task manager backed by MongoDB and Mongoose, a store API, JWT authentication examples, and a jobs API. Additional course projects demonstrate file uploads, email delivery, Stripe payments, and e-commerce backend development. Authentication material also covers workflows such as email verification and password resets. The repository emphasizes building functioning APIs rather than learning server concepts only through isolated examples. ... -
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ZVTM is a Zoomable User Interface (ZUI) toolkit implemented in Java. It eases the task of creating complex visual multi-scale editors in which large amounts of objects have to be displayed and animated.
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Hippo4j
Powerful dynamic thread pool framework with monitoring/alarm functions
Dynamically observable thread pool framework to improve online operation guarantee capabilities for business systems. Dynamically change thread pool parameters when the application is running, including not limited to core, maximum thread, blocking queue size, and rejection strategy, etc., and support different node thread pool configuration differentiation under the application cluster. Buried when the application thread pool is running, it provides four alarm dimensions, such as... -
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Problems for Spring MVC
A library for handling Problems in Spring Web MVC
...It fills a niche, in that it connects the Problem library and either Spring Web MVC's exception handling or Spring WebFlux's exception handling so that they work seamlessly together, while requiring minimal additional developer effort. In doing so, it aims to perform a small but repetitive task — once and for all. -
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VALL-E
PyTorch implementation of VALL-E (Zero-Shot Text-To-Speech)
...Specifically, we train a neural codec language model (called VALL-E) using discrete codes derived from an off-the-shelf neural audio codec model, and regard TTS as a conditional language modeling task rather than continuous signal regression as in previous work. During the pre-training stage, we scale up the TTS training data to 60K hours of English speech which is hundreds of times larger than existing systems. VALL-E emerges in-context learning capabilities and can be used to synthesize high-quality personalized speech with only a 3-second enrolled recording of an unseen speaker as an acoustic prompt. ... -
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Keras Attention Mechanism
Attention mechanism Implementation for Keras
...An overview of the training is shown below, where the top represents the attention map and the bottom the ground truth. As the training progresses, the model learns the task and the attention map converges to the ground truth. We consider many 1D sequences of the same length. The task is to find the maximum of each sequence. We give the full sequence processed by the RNN layer to the attention layer. We expect the attention layer to focus on the maximum of each sequence. -
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FreeplaneGTD+
Freeplane add-on for task management and memo taking
Freeplane is a widely used mind mapping tool. GTD is a time management methodology by David Allen. Freeplane GTD is an addon, that can collect tasks specified in a mindmap, thus allowing the users of Freeplane to use the concepts of GTD in their mind -
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auto-sklearn
Automated machine learning with scikit-learn
auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. auto-sklearn frees a machine learning user from algorithm selection and hyperparameter tuning. It leverages recent advantages in Bayesian optimization, meta-learning and ensemble construction. Auto-sklearn 2.0 includes latest research on automatically configuring the AutoML system itself and contains a multitude of improvements which speed up the fitting the AutoML system.... -
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Open Source News Network
Open Source News Network
...We have thousands of pre-ade website templates from News networks to Social Networks to real estate MLS as well as medical records management software. Megalo Global and the Just shared hosting companies can handle any task. We are affordable too. If you cannot call us you can chat with us via the link below or the chat box below. -
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Mars Framework
Mars is a tensor-based unified framework for large-scale data
Mars is a distributed computing framework designed to scale scientific computing and data science workloads across large clusters while preserving the familiar programming interfaces of common Python libraries. The project provides a tensor-based execution model that extends the capabilities of tools such as NumPy, pandas, and scikit-learn so that large datasets can be processed in parallel without rewriting code for distributed environments. Its architecture automatically divides large... -
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Dexcount Gradle Plugin
A Gradle plugin to report the number of method references in your APK
...This helps you keep tabs on the growth of your app, with an eye to staying under the 65,536 method-reference limit, and avoiding the headache of eliminating methods or enabling multidex. When applied, dexcount-gradle-plugin will create one task per Android variant that you can execute to produce method-count reports. The tasks are named according the variant, in the format “count${variant}DexMethods”. In a typical app, that means there will be tasks named countDebugDexMethods and countReleaseDexMethods. Historically, these counting tasks were run by default on every build; this continues to be true for projects using versions of Android Gradle Plugin from 3.4.0 up until 4.1.0. ... -
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Repeat
Mouse/keyboard record/replay and automation hotkeys/macros creation
Full-fledged mouse/keyboard record/replay and automation hotkeys/macros creation using modern programming languages, and more advanced automation features. Working across three major OSes: Windows, OSX, and Linux. See more at https://github.com/repeats/Repeat Repeat yourself with some intelligence. This, if used correctly, can improve your productivity greatly. -
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BitSail
BitSail is a distributed high-performance data integration engine
BitSail is ByteDance's open source data integration engine which is based on distributed architecture and provides high performance. It supports data synchronization between multiple heterogeneous data sources, and provides global data integration solutions in batch, streaming, and incremental scenarios. At present, it serves almost all business lines in ByteDance, such as Douyin, Toutiao, etc., and synchronizes hundreds of trillions of data every day. BitSail has been widely used and... -
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Compose
A machine learning tool for automated prediction engineering
Compose is a machine learning tool for automated prediction engineering. It allows you to structure prediction problems and generate labels for supervised learning. An end user defines an outcome of interest by writing a labeling function, then runs a search to automatically extract training examples from historical data. Its result is then provided to Featuretools for automated feature engineering and subsequently to EvalML for automated machine learning. Prediction problems are structured... -
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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. ...
