Search Results for "tasks" - Page 75
Sort By:
Showing 3767 open source projects for "tasks"
View related business solutions-
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.
-
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
1
WeekToDo
WeekToDo is a Free and Open Source Minimalist Weekly Planner and To Do
WeekToDo is a free and Open Source Minimalist Weekly Planner and To Do list App for simple and effective people. Schedule your tasks, set reminders and handle projects with To Do list and a calendar. Available for Windows, Mac, Linux or online. -
2
Pattern
Web mining module for Python, with tools for scraping
...In addition to data mining features, the library offers natural language processing functionality including part-of-speech tagging, sentiment analysis, and n-gram extraction. The framework also includes machine learning algorithms that support classification, clustering, and vector space modeling for text analysis tasks. Another component of the library provides tools for analyzing and visualizing networks, making it useful for studying relationships between entities in large datasets. -
3
mlr
Machine Learning in R
R does not define a standardized interface for its machine-learning algorithms. Therefore, for any non-trivial experiments, you need to write lengthy, tedious, and error-prone wrappers to call the different algorithms and unify their respective output. {mlr} provides this infrastructure so that you can focus on your experiments! The framework provides supervised methods like classification, regression, and survival analysis along with their corresponding evaluation and optimization methods,... -
4
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. ... -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
-
5
Bloatless PHP WebSockets
Simple WebSocket server implemented in PHP
Simple WebSocket server implemented in PHP. -
6
pycos
Python framework for concurrent, asynchronous, distributed tasks
Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing. -
7
DecryptLogin
Python library providing APIs for automated website login workflows
DecryptLogin is a Python library designed to simplify automated login processes for many popular websites by providing ready-to-use APIs that simulate authentication behavior. It focuses on implementing login mechanisms through HTTP requests, allowing developers to programmatically authenticate with supported services without manually replicating complex login flows. It includes modules that handle different authentication modes such as PC login, mobile login, and QR code login depending on... -
8
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... -
9
Auto-PyTorch
Automatic architecture search and hyperparameter optimization
...The newest features in Auto-PyTorch for tabular data are described in the paper "Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL" (see below for bibtex ref). Details about Auto-PyTorch for multi-horizontal time series forecasting tasks can be found in the paper "Efficient Automated Deep Learning for Time Series Forecasting" (also see below for bibtex ref). -
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.
-
10
Vodogray is a fast operating system oriented at creative people, it includes more software for creators and their tasks Source files available on GitHub https://github.com/VodograyLinux I publish news about the distribution and its development in the Telegram channel https://t.me/VodograyNews
-
11
Video Pre-Training
Learning to Act by Watching Unlabeled Online Videos
...The idea is to learn general priors of control from large-scale, unlabeled video data, and then optionally fine-tune those priors for more goal-directed behavior via environment interaction. The repository contains demonstration models of different widths, fine-tuned variants (e.g. for building houses or early-game tasks), and inference scripts that instantiate agents from pretrained weights. Key modules include the behavioral cloning logic, the agent wrapper, and data loading pipelines (with an accessible skeleton for loading Minecraft demonstration data). The repo also includes a run_agent.py script for testing an agent interactively, and an agent.py module encapsulating the control logic. -
12
ConvNeXt
Code release for ConvNeXt model
...It revisits classic ResNet-style backbones through the lens of transformer design trends—large kernel sizes, inverted bottlenecks, layer normalization, and GELU activations—to bridge the performance gap between convolutions and attention-based models. ConvNeXt’s clean, hierarchical structure makes it efficient for both pretraining and fine-tuning across a wide range of visual recognition tasks. It achieves competitive or superior results on ImageNet and downstream datasets while being easier to deploy and train than transformers. The repository provides pretrained models, training recipes, and ablation studies demonstrating how incremental design choices collectively yield state-of-the-art performance. -
13
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. -
14
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. -
15
Open Speech Corpora
A list of accessible speech corpora for ASR, TTS
Open Speech Corpora is a curated catalog of speech datasets intended to support research and development in automatic speech recognition, text-to-speech, and other speech technologies. The repository is organized as a set of tables that list corpora along with their languages, total hours, number of speakers, download links, and licenses, giving practitioners a quick way to find data that matches their needs. It emphasizes free and truly “open” datasets, favoring those released under... -
16
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. -
17
RoBERTa for Chinese
RoBERTa Chinese pre-training model: RoBERTa for Chinese
...The repository also describes whole word masking for Chinese and provides examples for loading and fine-tuning models on sentence-pair matching tasks. Overall, it is a useful pretrained model resource for developers who want stronger Chinese BERT-style representations for classification, matching, reading comprehension, and related NLP tasks. -
18
Sextium
BOT IRC in Perl
...These macros are recorded by users in the form of actions, messages or IRC commands. It is possible to create a macro with several macros in a row. It also keeps a history of those deleted. Features It can also perform other small tasks: Statistics of chan activity with Pisg Statistics of the words used, number of times... Anagram using René Cougnenc's Dictionary Dico still present in Debian-based distributions Management of rights to activate, of users Permission to interact Blocking a user Protection of defined users against Kick, MODE -o, ban... -
19
TagUI
Free RPA tool by AI Singapore
Write flows in simple TagUI language and automate away repetitive time-consuming tasks on your computer. Tasks include those on websites (native support for Chrome and Edge), desktop apps, or the command line. The TagUI project is open-source and free forever. It's easy to setup and use, and works on Windows, macOS and Linux. Besides English, flows can be written in 22 other languages, so you can do RPA using your native language. -
20
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. -
21
pspider
Simple Python framework for building multithreaded web crawlers
...It focuses on providing an easy-to-understand architecture while still supporting concurrent crawling for improved performance. It uses a multithreaded model that separates the crawling workflow into several components responsible for fetching, parsing, and saving data. Tasks are managed through queues, allowing different parts of the crawler to process work asynchronously and efficiently. PSpider defines a set of modules and utility classes that help developers manage crawling tasks, filter URLs, and process scraped content. By organizing crawling tasks into structured stages, PSpider allows developers to build scalable spiders while keeping the codebase relatively compact and readable. ... -
22
Browser Pool
A Node.js library to easily manage and rotate a pool of web browsers
Browser Pool is a small, but powerful and extensible library, that allows you to seamlessly control multiple headless browsers at the same time with only a little configuration, and a single function call. Currently it supports Puppeteer, Playwright and it can be easily extended with plugins. We created Browser Pool because we regularly needed to execute tasks concurrently in many headless browsers and their pages, but we did not want to worry about launching browsers, closing browsers, restarting them after crashes and so on. We also wanted to easily and reliably manage the whole browser/page lifecycle. You can use Browser Pool for scraping the internet at scale, testing your website in multiple browsers at the same time or launching web automation robots. -
23
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. ... -
24
mlscraper
ML-based HTML scraper that learns extraction rules from examples
...Once trained, the generated scraper can process new pages and return the extracted data in structured formats such as dictionaries or lists. This approach simplifies web scraping tasks by shifting the focus from rule-writing to example-based training. Internally, the project processes HTML documents, identifies relevant elements in the DOM, and builds extraction logic based on statistical or heuristic analysis of the training samples. The result is a developer-oriented tool that aims to automate common scraping workflows. -
25
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.
