Search Results for "state-thread" - Page 19
Sort By:
Showing 2733 open source projects for "state-thread"
View related business solutions-
Paessler - Monitor Your Whole Network in MinutesWaiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
-
$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.
-
1
ReservoirComputing.jl
Reservoir computing utilities for scientific machine learning (SciML)
ReservoirComputing.jl provides an efficient, modular and easy-to-use implementation of Reservoir Computing models such as Echo State Networks (ESNs). For information on using this package please refer to the stable documentation. Use the in-development documentation to take a look at not-yet-released features. -
2
DFTK.jl
Density-functional toolkit
...The unique feature of this code is its emphasis on simplicity and flexibility with the goal of facilitating algorithmic and numerical developments as well as interdisciplinary collaboration in solid-state research. -
3
Ultralytics
Ultralytics YOLO
Ultralytics is a comprehensive computer vision framework that provides state-of-the-art implementations of the YOLO (You Only Look Once) family of models, enabling developers to perform tasks such as object detection, segmentation, classification, tracking, and pose estimation within a unified system. It is designed to be fast, accurate, and easy to use, offering both command-line and Python-based interfaces for training, validation, and deployment of machine learning models. -
4
OpenClaw Studio
A clean web dashboard for OpenClaw
OpenClaw Studio is a web-based dashboard designed to manage and interact with OpenClaw agents through a centralized interface. It allows users to connect to an OpenClaw Gateway, monitor agents, and control workflows from a single location. The platform provides real-time chat capabilities, approval management, and job configuration tools for agent operations. Built with a control-plane architecture, it handles communication between the browser and the gateway through server-managed... -
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.
-
5
WebMCP
Enabling web apps to get accessed by AI agents
WebMCP is a proposed web standard that enables web applications to expose their functionality as JavaScript-based “tools” accessible to AI agents, browser assistants, and assistive technologies. It allows developers to define structured, natural-language-described functions directly in client-side code, effectively turning web pages into Model Context Protocol (MCP)-like servers running in the browser. Unlike backend integrations, WebMCP executes tools within the live web page, preserving... -
6
Infisical
Infisical is the open-source platform for secrets management, PKI
...Manage secrets across projects and environments (e.g. development, production, etc.) through a user-friendly interface. Sync secrets to platforms like GitHub, Vercel, AWS, and use tools like Terraform, Ansible, and more. Keep track of every secret and project state; roll back when needed. Deliver secrets to your Kubernetes workloads and automatically reload deployments. -
7
PlatEMO
Evolutionary multi-objective optimization platform
Evolutionary multi-objective optimization platform. PlatEMO consists of a number of MATLAB functions without using any other libraries. Any machines able to run MATLAB can use PlatEMO regardless of the operating system. PlatEMO includes more than ninety existing popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, memetic algorithm, estimation of distribution algorithm, and surrogate model-based algorithm. Most of them are representative algorithms... -
8
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 integrates with the build system to run code coverage after tests. Enabling code coverage is as simple as setting the CollectCoverage property to true. ... -
9
React Dashboard
Isomorphic admin dashboard template
...Whenever you modify any of the source files inside the /src folder, the module bundler (Webpack) will recompile the app on the fly and refresh all the connected browsers. React is a declarative, efficient, and flexible JavaScript library for building user interfaces. Design simple views for each state in your application, and React will efficiently update and render just the right components when your data changes. -
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
10
Daptin
Daptin - Backend As A Service - GraphQL/JSON-API Headless CMS
...JSON API/GraphQL for CRUD apis. User and group management and access control. Social login with OAuth: tested with google, github, LinkedIn. Actions for abstracting out business flows. Extensive state tracking APIs. Enable Data Auditing from a single toggle. Synchronous Data Exchange with 3rd party APIs. Multilingual tables support, supports Accept-Language header. Cloud storage sync like gdrive, dropbox, b2, s3 and more. Asset column to hold file and blob data, backed by storage. Multiple websites under separate sub-domain/sub-paths. ... -
11
Android Use
Automate native Android apps with AI using accessibility APIs
...It fills a gap in automation tooling by focusing on mobile-first workflows where traditional browser or desktop-based automation doesn’t work; such as logistics, gig work, field operations, and other industries reliant on phones or tablets. The project works by using Android’s accessibility API to extract structured UI state (as XML) from the device, which is then fed to a large language model (LLM) like OpenAI’s models for decision-making, and actions are executed via the Android Debug Bridge (ADB). This approach bypasses expensive vision-based models and provides faster, cheaper automation with fine-grained interaction capabilities (for example, tapping buttons, typing text, navigating screens). -
12
Qwen Audio Agent
A realtime voice runtime that keeps Agents talking
...The system can reuse an agent’s existing tools, MCP servers, skills, configuration, and authentication through ACP-based integrations. Interfaces include a browser UI, terminal UI, and a macOS desktop orb with an integrated local gateway. Local profile, memory, and task-state files preserve continuity across sessions while configured audio and backend services handle model processing. -
13
walgit
A git server that is one binary in front of an object store
walgit is a lightweight Git server designed around object storage rather than traditional server-local repository state. A single binary can host repositories whose durable data resides in S3-compatible storage or Google Cloud Storage. It supports standard Git fetch and push operations over Smart HTTP, including protocol versions 0 and 2. Bundle-based cloning and Git LFS are included for handling repositories and large files efficiently. Users also get a repository browsing interface, JSON API, SDK, webhooks, and configurable push policies. ... -
14
Phantom
An AI co-worker with its own computer
Phantom is an experimental AI agent framework designed to simulate autonomous workflows with an emphasis on stealth, abstraction, and flexible execution across environments. The system likely focuses on orchestrating tasks in a way that minimizes friction between user intent and execution, allowing agents to operate with minimal direct supervision. Its architecture suggests modular components that handle planning, execution, and context management independently, enabling scalable and... -
15
NVIDIA Model Optimizer
A unified library of SOTA model optimization techniques
Model Optimizer is a unified library that provides state-of-the-art techniques for compressing and optimizing deep learning models to improve inference efficiency and deployment performance. It brings together multiple optimization strategies such as quantization, pruning, distillation, and speculative decoding into a single cohesive framework. The library is designed to reduce model size and computational requirements while maintaining accuracy, making it particularly valuable for deploying large models in production environments. ... -
16
JiT
PyTorch implementation of JiT
JiT is an open-source PyTorch implementation of a state-of-the-art image diffusion model designed around a minimalist yet powerful architecture for pixel-level generative modeling, based on the paper Back to Basics: Let Denoising Generative Models Denoise. Rather than predicting noise, JiT models directly predict clean image data, which the research suggests aligns better with the manifold structure of natural images and leads to stronger generative performance at high resolution. ... -
17
FluentValidation
.NET validation library for building strongly-typed validation rules
FluentValidation is a popular .NET library offering a fluent, expressive interface for building strongly-typed validation rules. It supports modern .NET runtimes including .NET 8+, and integrates smoothly into .NET Core, Blazor, and other ecosystems. FluentValidation has adopted the Code of Conduct defined by the Contributor Covenant to clarify expected behavior in our community. For more information see the .NET Foundation Code of Conduct. A validation library for .NET that uses a fluent... -
18
AlphaGenome
Programmatic access to the AlphaGenome model
...The model analyzes DNA sequences of up to 1 million base pairs in length and can deliver predictions at single-base-pair resolution for most outputs. AlphaGenome achieves state-of-the-art performance across a range of genomic prediction benchmarks, including numerous diverse variant effect prediction tasks. -
19
Vacuum Card
Vacuum cleaner card for Home Assistant Lovelace UI
Vacuum Card is a custom UI component for Home Assistant (specifically its Lovelace dashboard) that provides a user-friendly control panel for robot vacuum cleaners — something the default Home Assistant UI doesn’t supply by default. With vacuum-card installed, users get a visual card on their dashboard showing the vacuum’s state (e.g. cleaning, docked, battery level) and controls to start, stop, pause, or send the robot back to dock, directly from their Home Assistant interface. The card aims to support as many robot models as possible by relying on standard vacuum service calls (start, pause, stop, return_to_base etc.), allowing broad compatibility across brands. ... -
20
LiveDebugger
Tool for debugging LiveView applications
...LiveDebugger can be installed as a development dependency and also offers browser DevTools extensions for Chrome and Firefox. Its main value is giving Phoenix LiveView teams a dedicated debugging experience for understanding component state, callbacks, and runtime behavior. -
21
MiniMax-M2.1
MiniMax M2.1, a SOTA model for real-world dev & agents.
MiniMax-M2.1 is an open-source, state-of-the-art agentic language model released to democratize high-performance AI capabilities. It goes beyond a simple parameter upgrade, delivering major gains in coding, tool use, instruction following, and long-horizon planning. The model is designed to be transparent, controllable, and accessible, enabling developers to build autonomous systems without relying on closed platforms. -
22
Yampa
Functional Reactive Programming domain-specific language
...Based on the concept of signal functions, Yampa offers a declarative way to model time-varying values and their transformations, making it easier to manage complex time-based logic without resorting to imperative state management. It is grounded in strong mathematical foundations and is well-suited for real-time and interactive systems where temporal behaviors are central. -
23
Serialize JavaScript
Serialize JavaScript to a superset of JSON
Serialize JavaScript to a superset of JSON that includes regular expressions, dates and functions. The code in this package began its life as an internal module to express-state. To expand its usefulness, it now lives as serialize-javascript — an independent package on npm. A primary feature of this package is to serialize code to a string of literal JavaScript which can be embedded in an HTML document by adding it as the contents of the script element. In order to make this safe, HTML characters and JavaScript line terminators are escaped automatically. -
24
Output
TypeScript framework for building AI workflows and agents
...Output includes built-in evaluation systems, such as LLM-as-a-judge scoring, and integrates workflow orchestration tools like Temporal to handle retries, parallel execution, and state management. It also supports multiple model providers through a unified API. -
25
Kimi k1.5
Scaling Reinforcement Learning with LLMs
Kimi-k1.5 is an advanced open-source multimodal large-language model project that explores scaling reinforcement learning with long-context chains of thought, achieving performance that rivals or surpasses state-of-the-art models on benchmarks like LiveCodeBench, AIME, and MATH-500. The project emphasizes a simplistic yet powerful framework where the context window scales up to 128k tokens, enabling reasoning that resembles planning, reflection, and correction over a much longer sequence of data than typical models. By using techniques like partial rollouts to improve training efficiency and applying sophisticated policy optimization methods, the developers demonstrate that strong ability can emerge without relying on complex solutions like Monte Carlo tree search or value functions. ...
