Search Results for "task" - Page 16
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Showing 2026 open source projects for "task"
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Ludwig AI
Low-code framework for building custom LLMs, neural networks
...Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. Retain full control of your models down to the activation functions. ... -
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Coverlet
Cross platform code coverage for .NET
Coverlet is a cross-platform code coverage framework for .NET, with support for line, branch and method coverage. It works with .NET Framework on Windows and .NET Core on all supported platforms. Coverlet documentation reflect the current repository state of the features, not the released ones. Check the changelog to understand if the documented feature you want to use has been officially released. Coverlet is integrated into the Visual Studio Test Platform as a data collector. Coverlet also... -
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TensorFlow Model Optimization Toolkit
A toolkit to optimize ML models for deployment for Keras & TensorFlow
...Deploy models to edge devices with restrictions on processing, memory, power consumption, network usage, and model storage space. Enable execution on and optimize for existing hardware or new special purpose accelerators. Choose the model and optimization tool depending on your task. In many cases, pre-optimized models can improve the efficiency of your application. Try the post-training tools to optimize an already-trained TensorFlow model. Use training-time optimization tools and learn about the techniques. -
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DevSec Hardening
This Ansible collection provides battle tested hardening
Hardening adds a layer into your automation framework, that configures your operating systems and services. It takes care of difficult settings, compliance guidelines, cryptography recommendations, and secure defaults. Running secure infrastructure is a difficult task. Although server hardening is a well-known topic with many guides out in the wild, it is still very cumbersome to apply and verify secure configuration. If you manage many server, they need to be configured properly and maintained, which is difficult and time-consuming to get right. To answer these needs for security, compliance, and maintainability, we decided to launch this project as a common ground for requirements and their fulfillment. ... -
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Loomio
Make better decisions together
Making important decisions is critical for any business or organization to succeed. However, making wise decisions as a group can be quite the challenge, especially if these decision makers aren't in the same location. Loomio is the solution for such businesses and organizations. It is a collaborative decision-making tool that makes it easy for anyone to participate in decisions, and helps groups make the best decisions together. No need for tedious meetings and endless email chains-- with... -
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UI-TARS
UI-TARS-desktop version that can operate on your local personal device
UI-TARS is an open-source multimodal “GUI agent” created by ByteDance: a model designed to perceive raw screenshots (or rendered UI frames), reason about what needs to be done, and then perform real interactions with graphical user interfaces (GUIs) — like clicking, typing, navigating menus — across desktop, browser, mobile, or game environments. Rather than relying on rigid, manually scripted UI automation, UI-TARS uses a unified vision-language model (VLM) that integrates perception,... -
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Claude-Flow
The leading agent orchestration platform for Claude
Claude-Flow v2 Alpha is an advanced AI orchestration and automation framework designed for enterprise-grade, large-scale AI-driven development. It enables developers to coordinate multiple specialized AI agents in real time through a hive-mind architecture, combining swarm intelligence, neural reasoning, and a powerful set of 87 Modular Control Protocol (MCP) tools. The platform supports both quick swarm tasks and persistent multi-agent sessions known as hives, facilitating distributed AI... -
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BroadcastChannel
BroadcastChannel to send data between different browser-tabs or nodejs
...It is tested across old browsers, modern browsers, Web Workers, iframes, and Node.js. It also includes leader election over channels, which helps multiple contexts decide which one should perform a shared task. It is useful for multi-tab synchronization, offline-first applications, shared state coordination, and browser apps that need to avoid duplicated background work. -
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core.async
Facilities for async programming and communication in Clojure
core.async is a Clojure library that brings asynchronous programming and communication to both Clojure and ClojureScript, enabling developers to write concurrent code using channels, go blocks, and CSP-style constructs rather than callbacks or threads. This project follows the version scheme MAJOR.MINOR.COMMITS where MAJOR and MINOR provide some relative indication of the size of the change, but do not follow semantic versioning. In general, all changes endeavor to be non-breaking (by moving... -
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Pyper
Concurrent Python made simple
Pyper is a Python-native orchestration and scheduling framework designed for modern data workflows, machine learning pipelines, and any task that benefits from a lightweight DAG-based execution engine. Unlike heavier platforms like Airflow, Pyper aims to remain lean, modular, and developer-friendly, embracing Pythonic conventions and minimizing boilerplate. It focuses on local development ergonomics and seamless transition to production environments, making it ideal for small teams and individuals needing a programmable and flexible orchestration solution without the overhead of enterprise systems. -
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Adapters
A Unified Library for Parameter-Efficient Learning
...Adapters provide a unified interface for efficient fine-tuning and modular transfer learning, supporting a myriad of features like full-precision or quantized training (e.g. Q-LoRA, Q-Bottleneck Adapters, or Q-PrefixTuning), adapter merging via task arithmetics or the composition of multiple adapters via composition blocks, allowing advanced research in parameter-efficient transfer learning for NLP tasks. -
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mistletoe
A fast, extensible and spec-compliant Markdown parser in pure Python
mistletoe is a Markdown parser in pure Python, designed to be fast, spec-compliant and fully customizable. Apart from being the fastest CommonMark-compliant Markdown parser implementation in pure Python, mistletoe also supports easy definitions of custom tokens. Parsing Markdown into an abstract syntax tree also allows us to swap out renderers for different output formats, without touching any of the core components. -
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spacy-llm
Integrating LLMs into structured NLP pipelines
Large Language Models (LLMs) feature powerful natural language understanding capabilities. With only a few (and sometimes no) examples, an LLM can be prompted to perform custom NLP tasks such as text categorization, named entity recognition, coreference resolution, information extraction and more. This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for fast prototyping and prompting, and turning unstructured responses into robust outputs for various... -
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Docker tools
Useful tools when you are running your project inside docker container
Running a DNS service for docker containers always messes with the DNS settings of your workstation. Especially if these DNS/discovery services themselves run inside docker containers on an active development workstation. Resolving DNS issues is not an easy task. Contrary to that the hosts file is simple. The script first removes all existing entries of all the hostnames of containers created by docker-compose. Configure the environment variables in your .env file. That way it can be used by docker-compose as well (DRY). -
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VT Code
VT Code - semantic AI coding agent
VTCode is a terminal-based AI coding agent designed to provide semantic code understanding and interactive assistance directly within a command-line environment. It is implemented in Rust and focuses on performance, portability, and deep integration with developer workflows that rely on terminal tools. The system leverages syntax-aware parsing technologies such as tree-sitter and AST-based analysis to understand code structure rather than relying solely on raw text, which enables more... -
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Perl 5
The Perl programming language
...Development emphasizes robust tests (t/), meticulous changelogs, and tooling like perldoc to keep the language approachable and dependable. In practice, Perl 5 remains a workhorse for sysadmin automation, data munging, web services, and any task where flexible, expressive text handling is paramount. -
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Claude Code Plugins
Intelligent automation and multi-agent orchestration for Claude Code
Claude Code Plugins is a lightweight framework designed to define, manage, and execute AI agents in a modular and extensible way, typically focusing on orchestrating tasks using large language models and tool integrations. The project provides abstractions for building agents that can interpret instructions, execute commands, and interact with external systems in a structured workflow. It emphasizes simplicity and composability, allowing developers to define agent behaviors through reusable... -
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Cofounder
AI tool that generates full-stack web apps with generative UI systems
Cofounder is an experimental open source development tool designed to generate complete full-stack web applications using AI-assisted workflows. It focuses on creating applications that include a backend, database integration, and stateful web interfaces while also generating user interfaces through a generative UI system rooted in application architecture. Developers can describe a project and allow the system to incrementally produce a working codebase that includes both backend services... -
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Netflix Maestro
Netflix’s Workflow Orchestrator
...The platform enables engineers and data scientists to define workflows using structured configuration files and execute tasks across diverse compute environments, including scripts, containers, and notebook environments. Maestro provides built-in mechanisms for retry logic, task scheduling, dependency management, and error handling, which are essential when orchestrating production-scale pipelines. -
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CowAgent
AI assistant based on large models that can actively think and plan
CowAgent, based on the chatgpt-on-wechat project, is an open-source AI agent framework that integrates large language models into the WeChat ecosystem to create intelligent conversational assistants. It enables automated message handling by connecting WeChat accounts with AI models that can generate contextual replies, process voice messages, and produce images directly inside chats. The platform has evolved beyond a simple chatbot into a more autonomous agent capable of planning complex... -
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Live Agent Studio
Open source AI Agents hosted on the oTTomator Live Agent Studio
Live Agent Studio is a curated repository of open-source AI agents associated with the oTTomator Live Agent Studio platform, showcasing a variety of agent implementations that illustrate how autonomous and semi-autonomous tools can be constructed using modern AI frameworks. Each agent in the collection is designed for a specific use case — such as content summarization, task automation, travel planning, or RAG workflows — and is provided with the code or configuration needed to explore and extend it on your own, making the repository both a learning resource and a practical starting point for real projects. The repository is community focused, with sample agents like tweet generators, smart selectors, research assistants, and multi-tool workflows that show how agents can integrate with tools like n8n or custom Python code. ... -
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Open X-Embodiment
Unified open dataset enabling cross-embodiment learning for robotics
Open X-Embodiment is a large-scale collaborative initiative led by Google DeepMind to unify robotic learning datasets into a consistent and standardized format, simplifying access and usage across the robotics research community. Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. This enables seamless integration for training, evaluation, and model development across... -
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NVIDIA Isaac GR00T
NVIDIA Isaac GR00T N1.5 is the world's first open foundation model
NVIDIA Isaac‑GR00T N1.5 is an open-source foundation model engineered for generalized humanoid robot reasoning and manipulation skills. It accepts multimodal inputs—such as language and images—and uses a diffusion transformer architecture built upon vision-language encoders, enabling adaptive robot behaviors across diverse environments. It is designed to be customizable via post-training with real or synthetic data. The vision-language model remains frozen during both pretraining and... -
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Data Formulator
Create rich visualizations with AI
...However, these systems do not work well for iterative visualization authoring, because they often require analysts to provide, in a single turn, a text-only prompt that fully describes the complex visualization task to be performed, which is unrealistic to both users and models in many cases. In this paper, we present Data Formulator 2, an LLM-powered visualization system to address these challenges. -
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Hilbish
The Moon-powered shell! A comfy and extensible shell for Lua fans
Hilbish is an extensible shell designed to be highly customizable. It is configured in Lua and provides a good range of features. It aims to be easy to use for anyone but powerful enough for those who need it. The motivation for choosing Lua was that it's simpler and better to use than an old shell script. It's fine for basic interactive shell uses, but that's the only place Hilbish has shell script; everything else is Lua and aims to be infinitely configurable. Hilbish is configured and...
