Search Results for "tasks" - Page 9
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Showing 277 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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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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cache2go
Concurrency-safe Go caching library with expiration capabilities
...The library includes features such as automatic expiration, callbacks on data eviction, and thread-safe operations for concurrent environments. It is designed to be easy to integrate into Go applications, offering a straightforward API for common caching tasks. cache2go can help improve performance by reducing the need for repeated computations or database queries. It also provides flexibility in managing cache lifecycles and behaviors. Overall, it is a practical solution for adding caching capabilities to Go applications. -
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swarmprom
Docker Swarm instrumentation with Prometheus, Grafana, cAdvisor
...It collects host, container, and Docker daemon metrics through Node Exporter, cAdvisor, and a dedicated daemon exporter. Grafana dashboards display cluster capacity, node health, service tasks, CPU, memory, storage, network traffic, I/O, and Prometheus performance. Alertmanager distributes alerts, Unsee provides an alert dashboard, and optional Slack settings deliver notifications to a channel. Global services and Docker DNS discovery automatically cover exporter instances added with new nodes. The project is intended as a foundation that teams can extend and harden for their own production environments. -
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Deeplearning-papernotes
Summaries and notes on Deep Learning research papers
Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract informative features, and a final softmax classifier to distinguish between target classes. ... -
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Leafpub
Simple, beautiful, open source publishing
Simple, beautiful, open source publishing. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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asynquence
Asynchronous flow control
...Instead of juggling nested callbacks, you create a chain of operations that pass values forward and route errors consistently. It supports concurrency control via “gates” and “races,” letting multiple tasks proceed and rejoin at the right moment without complex bookkeeping. The design emphasizes clarity and debuggability, keeping stack traces and error paths straightforward. Plugins expand the core with helpers for iteration, mapping, timeouts, and integration with event sources, so you can grow from simple sequences to richer workflows. ... -
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Ant SSH utils
SSH command execution, upload and download from Ant
Simple SSH tasks that can be used from Ant. Includes three SSH Ant tasks: * Run one/multiple commands over SSH in Ant. * Uploads one/multiple files over SSH in Ant. * Downloads one/multiple files over SSH in Ant. Simpler class loading since no external libraries are required to add to your Ant installation. All libraries are stored in your project directory, instead of your Ant installation. -
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Synaptic
Architecture-free neural network library for node.js and the browser
...This library includes a few built-in architectures like multilayer perceptrons, multilayer long-short term memory networks (LSTM), liquid state machines or Hopfield networks, and a trainer capable of training any given network, which includes built-in training tasks/tests like solving an XOR, completing a Distracted Sequence Recall task or an Embedded Reber Grammar test, so you can easily test and compare the performance of different architectures. If you have no prior knowledge about Neural Networks, you should start by reading the provided guide. -
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NOTE: This is a sf.net/subversion clone from https://github.com/wipu/iwant A java-based declarative, multi-threaded and incremental build system that provides a fluent java API for writing build programs. Can use ant tasks and ant and shell scripts as backend.
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torch-rnn
Efficient, reusable RNNs and LSTMs for torch
The torch-rnn project is a lightweight and efficient implementation of recurrent neural networks built on the Torch framework, focusing on flexibility and reusability for sequence modeling tasks. It provides implementations of standard RNNs and long short-term memory networks, enabling users to train models for tasks such as text generation, language modeling, and sequence prediction. The repository emphasizes simplicity and performance, offering a streamlined pipeline for preprocessing data, training models, and sampling outputs. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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react-native-background-task
Periodic background tasks for React Native apps, cross-platform
Periodic background tasks for React Native apps, cross-platform (iOS and Android), which run even when the app is closed. This library allows the scheduling of a single periodic task, which executes when the app is in the background or closed, no more frequently than every 15 minutes. Network, AsyncStorage etc can be used (anything except UI), so perfect for things like a background data sync for offline support. -
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KFingerprintManager
A small library to handle Android fingerprint API
A small library to handle Android fingerprint APIs. This library offers an easy way to handle authorisation and encryption tasks using Android Fingerprint APIs. It's based on Android fingerprint dialog sample made by Google: https://github.com/googlesamples/android-FingerprintDialog. This library can be used to provide basic authentication through fingerprint API, using manual password as backup option. It also allows you to encrypt messages using fingerprint APIs. -
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LibRec
Leading Java Library for Recommender Systems
LibRec is a Java library for recommender systems (Java version 1.7 or higher required). It implements a suit of state-of-the-art recommendation algorithms, aiming to resolve two classic recommendation tasks: rating prediction and item ranking. -
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Projects-Solutions
Links to others' solutions to Projects
Projects-Solutions is a companion repository to Projects; while Projects contains the list of project ideas, Projects-Solutions links to solutions submitted by other users in multiple programming languages. It is effectively a community-driven gallery of implementations of the tasks defined in the “Projects” list, allowing learners to compare their solutions, study others’ code, and improve their approach. The repository aggregates links and resources rather than necessarily hosting all code directly; it serves as an index. The README makes clear that the goal is to build a repository of implementations across languages, showing that the same problem can be solved in Python, Java, Go, JavaScript, C++, etc. ... -
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Face Verification Experiment
Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch
face_verification_experiment is a research repository focused on experiments in face verification using deep learning. It provides implementations and scripts for testing different neural network architectures and training strategies on face recognition and verification tasks. The project is designed to help researchers and practitioners evaluate the performance of models on standard datasets and explore techniques for improving accuracy. By offering experimental setups, it enables reproducibility and comparative study of face verification approaches. The repository serves as a resource for understanding the application of convolutional neural networks to identity verification, highlighting both methodology and results. ... -
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
...The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction. The repository contains reference code accompanying the research paper node2vec: Scalable Feature Learning for Networks (KDD 2016). It allows researchers and practitioners to apply node2vec to various graph datasets and evaluate embedding quality on downstream tasks. By bridging ideas from graph theory and word embedding models, this project demonstrates how graph-based machine learning can be made efficient and flexible. -
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BTCore
A Collection of Useful Java/Swing Code
NEWEST FEATURE ---------- Added one line ".zip" extraction to Util class! Added one line ".zip" extraction from URL (web) and one line file download from URL! BTCore is a library that was designed to be used with all of Banotech's software. It includes a tremendous amount of code snippets and classes that have been boiled down to allow ease of use by everyone. BTCore is, and always will be FREE. It has tools that we scrapped together over our last few projects, and that we found... -
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globjects
C++ library strictly wrapping OpenGL objects.
...It reduces the amount of OpenGL code required for rendering and facilitates coherent OpenGL use by means of an additional abstraction layer to glbinding and GLM. Common rendering tasks and processes are automated and missing features of specific OpenGL drivers are partially simulated or even emulated at run-time. -
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CRFasRNN
Semantic image segmentation method described in the ICCV 2015 paper
CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. Our work allows computers to recognize objects in images, what is distinctive about our work is that we also recover the 2D outline of objects. Currently we have trained this model to recognize 20 classes. This software allows you to test our algorithm on your own images – have a try and see if you can fool it, if you get some good examples you can send them to us. ... -
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Question Answering Corpus
Question answering dataset in "Teaching Machines to Read & Comprehend"
RC-Data is a dataset generation framework created by Google DeepMind to produce large-scale reading comprehension question-answer pairs from CNN and Daily Mail news articles. The dataset, introduced in the 2015 paper “Teaching Machines to Read and Comprehend” (Hermann et al., NIPS 2015), was among the first large corpora designed to train and evaluate machine reading and comprehension models. The repository provides scripts for downloading archived CNN and Daily Mail articles from the... -
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Scaloid
Scaloid makes your Android code easy to understand and maintain
...For example, it offers DSL-style helpers for defining views and layouts with less boilerplate, implicit conversions to help with event listeners, and utility methods to simplify common tasks. Scaloid aims to capture the expressiveness of Scala—higher-order methods, implicit conversions, extension methods—to let Android development be more functional and succinct. It lowers friction for Scala developers targeting Android, making UI code more compact and composable while still maintaining access to full Android platform capabilities. -
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You (Might) Don't Need jQuery
Examples of how to do query, style, dom, ajax, event etc like jQuery
You Don’t Need jQuery is a practical reference that maps common jQuery patterns to modern native JavaScript alternatives. It explains how current browser APIs can handle many tasks that once required jQuery. The guide covers selectors, CSS and style changes, DOM manipulation, Ajax, events, utility helpers, promises, animation, and browser support. It is written for developers who maintain older front-end code or want to reduce dependency weight in newer projects. The project also makes clear that jQuery is still valid in many cases, so the goal is guidance rather than blanket replacement. ... -
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SystemWebCompanion
Migrated to github https://github.com/ngeor/SystemWebCompanion
Attention: code migrated to github: https://github.com/ngeor/SystemWebCompanion A complementary library to ASP.NET helping perform some tasks common in web applications. The NuGet package is available here: https://www.nuget.org/packages/SystemWebCompanion/ -
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Framework to simplify the task of writing and executing threads in Java. Developer writes a Callable with annotations. The executor returns an extended Future with built-in support for cancelling, pausing, calculating progress, and much more.
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...Designed as a foundation library (providing a wsadmin.sh wrapper) following Object Oriented approach for WebSphere administrators who are used to develop Python scripts to do WebSphere adrministrative tasks.
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Gulp-Cheatsheet
A cheatsheet for gulp.js
...It’s designed to be easily printed or posted beside a workstation, acting as a quick lookup for task definitions, streams, watching, and build workflows. The cheatsheet covers essential topics like Gulp installation, defining tasks, piping streams, watchers, and handling asynchronous tasks. It includes multilingual PDF versions (English, Japanese, Chinese) so users around the world can use it in their preferred language. The repository is lightweight (mostly documentation and examples), licensed under MIT, and maintained as a community reference rather than a full tool or plugin.
