Search Results for "state-thread" - Page 29
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Showing 3267 open source projects for "state-thread"
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Qwen3-VL-Embedding
Multimodal embedding and reranking models built on Qwen3-VL
Qwen3-VL-Embedding (with its companion Qwen3-VL-Reranker) is a state-of-the-art multimodal embedding and reranking model suite built on the open-sourced Qwen3-VL foundation, developed to handle diverse inputs including text, images, screenshots, and videos. The core embedding model maps such inputs into semantically rich vectors in a unified representation space, enabling similarity search, clustering, and cross-modal retrieval. -
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SimpleMem
SimpleMem: Efficient Lifelong Memory for LLM Agents
...Unlike monolithic systems where memory management is ad-hoc, SimpleMem formalizes a memory lifecycle—write, index, retrieve, refine—so applications can handle user history, document collections, or dynamic contextual state systematically. It supports customizable embedding models, efficient vector indexes, and relevance weighting, making it practical for building assistants, personal agents, or domain-specific retrieval systems that need persistent knowledge. -
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Ralph TUI
A terminal UI for orchestrating AI coding agents
...By centering everything in a TUI, it encourages repeatable workflows where you can watch progress, adjust priorities, and keep your attention on the execution pipeline rather than juggling windows and tabs. The project is designed for real engineering workflows where tasks are interdependent and completion criteria matter, so it emphasizes explicit state, iteration, and predictable handoffs between steps. It also supports the idea of “skills” or reusable behaviors that can be applied to tasks, helping teams standardize how their agent approaches planning, implementation, and review. -
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ElatoAI
Realtime AI Voice Agents with SoTA Multimodal AI models on Arduino ESP
ElatoAI is a real-time AI voice agent platform built around IoT hardware (ESP32) that enables continuous speech-to-speech conversations using state-of-the-art multimodal voice models with minimal latency and global performance via edge computing. The system integrates voice synthesis and recognition by connecting an ESP32 device through secure WebSockets to edge server functions written in Deno, allowing users to speak naturally with AI agents hosted through cloud APIs including OpenAI’s Realtime API, Gemini’s Live API, xAI’s Grok Voice Agent API, and others. ... -
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Realtime Chat Application
Build and deploy a real time chat application
...It illustrates common patterns like event-driven messaging, joining/leaving rooms, and rendering live message streams in the UI. The goal is to teach production-adjacent concepts such as minimal state management, basic routing, and environment configuration without overwhelming the learner. The project has been widely referenced by learners tackling socket-based chat as an entry point to real-time web development. -
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Krypt
Build a Web 3.0 React Solidity blockchain application
...The project emphasizes end-to-end learning: from authoring and compiling a smart contract, to deploying it, and then interacting with it via web3 libraries in React. It demonstrates core patterns like sending transactions, reading on-chain state, and providing user feedback for pending and confirmed operations. The codebase is structured to be approachable for newcomers while still exposing real-world concerns such as network switching and account permissions. Collaboration and Q&A are encouraged through the repo’s community channels, making it a practical launchpad for first-time Web3 builders. -
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Memories
Build a full stack MERN application
...The repository is tied to a video tutorial series that covers the project from start to finish, ideal for developers learning full-stack workflows. The codebase is split into client and server folders for separation of concerns, and uses common patterns like REST APIs, React state management, and MongoDB models. While fairly standard as a “starter” full-stack project, it provides a clean, end-to-end example of building and deploying a modern web application with MERN. -
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frame.js
JavaScript Sequence Editor
...It abstracts the boilerplate of setting up a render loop, tracking elapsed time, and updating callbacks at the right cadence. By providing a simple lifecycle—start, stop, tick—it encourages separation between state updates and rendering, which is essential for smooth visuals. The library aims to be unobtrusive: you can drop it into demos or prototypes without adopting a large framework. Because it centralizes timing, it becomes easier to coordinate multiple animated elements or throttle work on low-power devices. For creative coding, micro-games, and UI flourishes, it offers just enough structure to keep animation code tidy. -
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Seesaw v2
Seesaw v2 is a Linux Virtual Server based load balancing platform
...A controller/worker architecture separates configuration and dataplane concerns, enabling safe rollouts and fast failover. Operators get tooling to define services declaratively and to observe the state of pools, backends, and routes. Seesaw aims to be understandable and operable by network and SRE teams who prefer transparent, Linux-native components over opaque appliances. -
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SlowFast
Video understanding codebase from FAIR for reproducing video models
SlowFast is a video understanding framework that captures both spatial semantics and temporal dynamics efficiently by processing video frames at two different temporal resolutions. The slow pathway encodes semantic context by sampling frames sparsely, while the fast pathway captures motion and fine temporal cues by operating on densely sampled frames with fewer channels. Together, these two pathways complement each other, allowing the network to model both appearance and motion without... -
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Whoops
PHP errors for cool kids
...Beyond error pages, Whoops supports custom handlers, logging, and filtering so exceptions can be gracefully transformed or reported. Because it only activates in development by default, it avoids revealing internal application state in production. Developers use Whoops to shorten debugging cycles, reduce the frustration of tracing issues, and maintain cleaner error surfaces across applications. -
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TanStack Table
Headless UI for building powerful tables & datagrids for TS/JS
TanStack Table is a headless UI library crafted for building powerful, highly customizable tables and data grids with TypeScript/JavaScript. It provides robust logic, state management, and APIs while intentionally omitting UI markup and styling, giving developers total control over presentation. It supports multiple frameworks, including React, Vue, Solid, Svelte, Qwik, Lit, and Vanilla JS/TS. -
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Delightful JavaScript Testing
Delightful JavaScript Testing
...Snapshots live either alongside your tests or embedded inline. Tests are parallelized by running them in their own processes to maximize performance. By ensuring your tests have unique global state, Jest can reliably run tests in parallel. To make things quick, Jest runs previously failed tests first and re-organizes runs based on how long test files take. Jest uses a custom resolver for imports in your tests, making it simple to mock any object outside of your test’s scope. You can use mocked imports with the rich Mock Functions API to spy on function calls with readable test syntax. -
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Alova.js
Workflow-Streamlined next-generation request tools
...Automatically manage paging data, and data preloading, reduce unnecessary data refresh, improve fluency by 300%, and reduce coding difficulty by 50%. Send requests immediately by watching state changes, useful in tab switching and condition querying. Global interceptor that supports silent token refresh, as well as providing unified management of token-based login, logout, token assignment, and token refresh. -
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whisper-timestamped
Multilingual Automatic Speech Recognition with word-level timestamps
Multilingual Automatic Speech Recognition with word-level timestamps and confidence. Whisper is a set of multi-lingual, robust speech recognition models trained by OpenAI that achieve state-of-the-art results in many languages. Whisper models were trained to predict approximate timestamps on speech segments (most of the time with 1-second accuracy), but they cannot originally predict word timestamps. This repository proposes an implementation to predict word timestamps and provide a more accurate estimation of speech segments when transcribing with Whisper models. ... -
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EconML
Python Package for ML-Based Heterogeneous Treatment Effects Estimation
EconML is a Python package for estimating heterogeneous treatment effects from observational data via machine learning. This package was designed and built as part of the ALICE project at Microsoft Research with the goal of combining state-of-the-art machine learning techniques with econometrics to bring automation to complex causal inference problems. One of the biggest promises of machine learning is to automate decision-making in a multitude of domains. At the core of many data-driven personalized decision scenarios is the estimation of heterogeneous treatment effects: what is the causal effect of an intervention on an outcome of interest for a sample with a particular set of features? ... -
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Flower
Flower: A Friendly Federated Learning Framework
...Flower originated from a research project at the University of Oxford, so it was built with AI research in mind. Many components can be extended and overridden to build new state-of-the-art systems. Different machine learning frameworks have different strengths. Flower can be used with any machine learning framework, for example, PyTorch, TensorFlow, Hugging Face Transformers, PyTorch Lightning, scikit-learn, JAX, TFLite, MONAI, fastai, MLX, XGBoost, Pandas for federated analytics, or even raw NumPy for users who enjoy computing gradients by hand. -
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lua-resty-openidc
OpenID Connect Relying Party and OAuth 2.0 Resource Server
...When used as an OAuth 2.0 Resource Server it can validate OAuth 2.0 Bearer Access Tokens against an Authorization Server or, in case a JSON Web Token is used for an Access Token, verification can happen against a pre-configured secret/key. It maintains sessions for authenticated users by leveraging lua-resty-session thus offering a configurable choice between storing the session state in a client-side browser cookie or use in of the server-side storage mechanisms shared-memory|memcache|redis. -
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Yasumi
The easy PHP Library for calculating holidays
...The goal of Yasumi is to be powerful while remaining lightweight, by utilizing PHP native classes wherever possible. Yasumi's calculation is provider-based (i.e. by country/state), making it easy to add new holiday providers that calculate holidays. -
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Knative Serving
Kubernetes-based, scale-to-zero, request-driven compute
...The route.serving.knative.dev resource maps a network endpoint to one or more revisions. You can manage the traffic in several ways, including fractional traffic and named routes. The configuration.serving.knative.dev resource maintains the desired state for your deployment. It provides a clean separation between code and configuration and follows the Twelve-Factor App methodology. Modifying a configuration creates a new revision. -
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Chaos Mesh
A Chaos Engineering Platform for Kubernetes
Chaos Mesh brings various types of fault simulation to Kubernetes and has an enormous capability to orchestrate fault scenarios. It helps you conveniently simulate various abnormalities that might occur in reality during the development, testing, and production environments and find potential problems in the system. Based on the principles of Chaos Engineering, Chaos Mesh abstracts real-world events into objects that can be directly applied, hiding the trivial details. Chaos Mesh provides... -
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JSON implementation for Ruby
JSON implementation for Ruby
This is an implementation of the JSON specification according to RFC 4627. You can think of it as a low-fat alternative to XML if you want to store data on disk or transmit it over a network rather than use a verbose markup language. Both variants of the JSON generator generate UTF-8 character sequences by default. If an:ascii_only option with a true value is given, they escape all non-ASCII and control characters with \uXXXX escape sequences, and support UTF-16 surrogate pairs in order to... -
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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. ... -
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Optuna
A hyperparameter optimization framework
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API. Thanks to our define-by-run API, the code written with Optuna enjoys high modularity, and the user of Optuna can dynamically construct the search spaces for the hyperparameters. Optuna Dashboard is a real-time web dashboard for Optuna. You can check the optimization history, hyperparameter importances, etc. in graphs and... -
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vee validate
Painless Vue forms
VeeValidate is the most popular Vue.js form library. It takes care of value tracking, validation, errors, submissions and more. Offers both declarative components or composable functions API. vee-validate sets up the foundation for you to form in whatever style you prefer. vee-validate can do a lot if you let it. Like tracking values, validation, handling submissions and more. You may opt-in or out to all of these aspects. You are in control of how much form code you write. vee-validate...
