Search Results for "tasks" - Page 16
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Showing 877 open source projects for "tasks"
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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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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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iJEPA
Official codebase for I-JEPA
...The design scales naturally with Vision Transformer backbones and flexible masking strategies, and it trains stably at large batch sizes. i-JEPA’s predictions are made in embedding space, which is computationally efficient and better aligned with downstream discrimination tasks. The repository provides training recipes, data pipelines, and evaluation code that clarify which masking patterns and architectural choices matter most. -
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pl
Perl One-Liner Magic Wand
Some tasks are too menial for a dedicated script but still too cumbersome even with the many neat one-liner options of "perl -E". This small script fills the gap: various one-letter commands & magic variables (with meaningful aliases too) and more nifty loop options take Perl programming to the command line. Fully imports List::Util. With no program on the command line, starts a pl Shell. -
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KotlinDL
High-level Deep Learning Framework written in Kotlin
...KotlinDL offers simple APIs for training deep learning models from scratch, importing existing Keras and ONNX models for inference, and leveraging transfer learning for tailoring existing pre-trained models to your tasks. This project aims to make Deep Learning easier for JVM and Android developers and simplify deploying deep learning models in production environments. -
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React Projects
Collection of React example / tutorial projects
...Each project is self-contained and demonstrates specific techniques—hooks for state and effects, context for global state, custom hooks for reuse, and reducer patterns for complex updates. The codebases include common UI tasks like forms, modals, lists, filtered search, and pagination, along with data fetching and basic routing where appropriate. Because every project focuses on a narrow set of concepts, learners can clone a single folder, run it, and grasp the idea without wading through a monolith. The examples are structured to be approachable yet idiomatic, encouraging good habits while staying close to what developers actually build. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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DIG
A library for graph deep learning research
...It includes unified implementations of data interfaces, common algorithms, and evaluation metrics for several advanced tasks. Our goal is to enable researchers to easily implement and benchmark algorithms. -
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whiteboxgui
An interactive GUI for WhiteboxTools in a Jupyter-based environment
...WhiteboxTools can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. WhiteboxTools also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; etc. -
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conc
Better structured concurrency for go
Conc is a Go library for managing structured concurrency, simplifying the development of concurrent applications with high performance. -
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Lumen PHP Framework
The Laravel Lumen Framework.
Laravel Lumen is a stunningly fast PHP micro-framework for building web applications with expressive, elegant syntax. We believe development must be an enjoyable, creative experience to be truly fulfilling. Lumen attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as routing, database abstraction, queueing, and caching. -
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Learning Prompt
Free prompt engineering online course
Learning-Prompt is a curated repository of prompts, techniques, and instructional patterns designed to help people construct better prompts for AI systems, including generation, reasoning, and debugging tasks. It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. The project also includes meta-guidance: reflections on prompt failures, tips for prompt tuning, ways to mitigate model bias or misinterpretation, and how to adapt prompts for different AI capabilities. ... -
$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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Willow Willow is a Python build system that can be used to create, compile, delete, and add dependencies to projects. It is a command-line tool that can be used to automate various tasks related to building and managing software projects. Willow also provides an API that can be used to perform the same tasks programmatically. The willowapi module provides the following functions: create(name, location): creates a new project with the specified name at the specified location. compile(directory): compiles the project located at the specified directory. delete(directory): deletes the project located at the specified directory. add_dependency(project_dir, dep_dir, depname): adds the specified dependency to the project located at project_dir. getversion(): returns the current version of Willow. ...
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emacs-ng
A new approach to Emacs
...One of its key innovations is the ability to run JavaScript code within Emacs using embedded engines, enabling new forms of interaction and extension development. Emacs-ng also explores concurrency improvements, allowing certain tasks to execute asynchronously without blocking the editor’s main thread, which enhances responsiveness. The project includes support for compiling extensions to native code, improving execution speed compared to traditional Emacs Lisp. -
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saas-boilerplate
SaaS boilerplate built in Laravel, Bootstrap 4 and VueJs
This is a SaaS boilerplate built on top of the Laravel framework. Built to provide developers with a template to kickoff their SaaS application, without the hustle for repetitive tasks such as user account setup, subscriptions and role management. -
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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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Splinter
Splinter - Python test framework for web applications
Splinter is a Python test framework for web applications, providing a simple and consistent API for browser automation and testing. -
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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. -
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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. -
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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. Programming language, Python3.6 + HTML + JScripts. Front-end web framework, Bootstrap. Backend Web Framework, Django. ... -
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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. -
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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. ... -
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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. -
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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. ... -
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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. -
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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. -
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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. ... -
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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...
