Search Results for "state-thread" - Page 6
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Showing 301 open source projects for "state-thread"
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LMAX Disruptor
High performance inter-thread messaging library
LMAX aims to be the fastest trading platform in the world. Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Performance testing showed that using queues to pass data between stages of the system was introducing latency, so we focused on optimising this area. The Disruptor is the result of our research and testing. We found that cache misses at the CPU-level, and locks requiring kernel arbitration are... -
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Dragonboat
A feature complete and high performance multi-group Raft library in Go
...It is also very easy to use, our step-by-step examples can help new users to master it in half an hour. Easy to use pure-Go APIs for building Raft based applications. Feature complete and scalable multi-group Raft implementation. Disk based and memory based state machine support. Fully pipelined and TLS mutual authentication support. -
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Compose Navigation Reimagined
Type-safe navigation library for Jetpack Compose
A small and simple, yet fully fledged and customizable navigation library for Jetpack Compose. -
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learn2learn
A PyTorch Library for Meta-learning Research
Learn2Learn is a PyTorch-based library focused on meta-learning and few-shot learning research. It provides reusable components and meta-learning algorithms, making it easier to build, train, and evaluate models that can quickly adapt to new tasks with minimal data. Learn2Learn is widely used in research for tasks such as few-shot classification, reinforcement learning, and optimization. -
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React Projects
Collection of React example / tutorial projects
This repository is a collection of small-to-medium React applications that showcase practical patterns, from stateful widgets to multi-page interfaces. 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. ... -
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ringBufU
Ring-Buffer library in C, includes support of multithreading
A Ring-Buffer instance could be used with element types - char - long - long long - void* . Focus is on a hardened SW structure with buffer-instance-pointer check (not very fast but more secure). Some features are globally choosable on compile-time (e.g. switch multithread support off completely to have faster access). Note: User Interface is for Test and Tutor Code only. -
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Kitten
A statically typed concatenative systems programming language
...Programs are composed by chaining small words that transform a typed stack, and the compiler uses type inference to ensure compositions are valid. The language explores disciplined handling of side effects, aiming to separate pure transformations from operations that perform I/O or mutate state. Its design encourages small, reusable building blocks that compose cleanly, while still permitting low-level control where performance matters. The implementation targets efficient compiled code and investigates how advanced type systems can improve reliability in a stack-based language. As a research project, Kitten serves both as a language to experiment with and as a vehicle for ideas about safety and structure in concatenative programming. -
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QScript
Expression and algorithm evaluator (built with Java)
V2.1.1 compatible with Processing 2 & 3. A powerful yet simple to use scripting language that can be used to evaluate expressions and simple algorithms. In fact it is the only evaluator I know that supports complex numbers and vectors without the need for additional configuration. The emphasis is on simplicity and extensibility and the website provides detailed guides to help you get the most of QScript. It supports variables, selection (IF-THEN-ELSE) and repetition (WHILE-WEND and... -
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state-threads
Lightweight thread library for C/C++ coroutine (similar to goroutine)
The State Threads Library is a small application library that provides a foundation for writing fast and highly scalable Internet applications (such as web servers, proxy servers, mail transfer agents, and so on) on UNIX-like platforms. -
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Brynet
A Header-Only cross-platform C++ TCP network library
Header Only Cross-platform high-performance TCP network library using C++ 11. The server uses two network threads and one logic thread, the client uses one network (also process logic) thread. Every packet size is 46 bytes. Every packet contains the client's id. Server broadcast packets to all clients when recv one packet from any client. The client sends one packet when recv packet from the server and the packet's id is equal self. -
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FairScale
PyTorch extensions for high performance and large scale training
...It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce boilerplate in complex distributed setups. Its components are modular, so teams can adopt just the sharding optimizer or the pipeline engine without rewriting their training loop. FairScale puts emphasis on correctness and debuggability, offering hook points, logging, and reference examples for common trainer patterns. ... -
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bigz
Simple and complete bignum/rational C library with wrappers for C++
bigz is the continuation of an old BigNum project that started its life as a joined INRIA & Dec project in 1989. The current version includes many fixes and improvements. Although not as efficient as, say gmp, it is very small, reasonably efficient and extremely portable. -
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AndroidAsync
Asynchronous socket, http(s) (client+server) and websocket library
AndroidAsync is a low-level asynchronous networking library for Android. It provides raw sockets, HTTP and HTTPS client and server functionality, and WebSocket support. The library is based on Java NIO rather than a thread-heavy model, which makes it suitable for event-driven network communication. It is intended for developers who need direct protocol-level control instead of a higher-level request wrapper. The project also serves as the foundation for Ion, the author’s higher-level Android networking and image loading library. AndroidAsync is most useful for Android developers building custom networking layers, servers, streaming behavior, or WebSocket-based features. -
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ClojureDart
Clojure dialect for Flutter and Dart
ClojureDart is a modern dialect of Clojure that compiles to Dart, enabling developers to create native mobile, desktop, web, and CLI applications using the Flutter and Dart ecosystem with Clojure syntax while offering production-ready performance. You should get the sample running either in Chrome or as a desktop app. Compiles Clojure code into Dart to produce mobile, desktop, and web apps. Production-ready toolchain, with stable compiler used in real-world apps. -
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Tokamak
Framework for building browser apps with WebAssembly
Tokamak is an open source framework that aims to replicate a large portion of Apple’s SwiftUI API in order to enable developers to build user interfaces that can run in the browser through WebAssembly as well as on native platforms. It provides a declarative programming model similar to SwiftUI, allowing developers to define views, state, and layout logic using familiar patterns while targeting environments beyond Apple’s ecosystem. The project includes a DOM renderer capable of handling a subset of SwiftUI views and modifiers, alongside additional constructs such as custom HTML rendering for greater flexibility when interacting with web technologies. Tokamak also introduces features like dynamic HTML elements with event listeners and direct DOM manipulation capabilities, which bridge the gap between Swift abstractions and browser-level control. ... -
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ml-surveys
Survey papers summarizing advances in deep learning, NLP, CV, graphs
The ml-surveys repository is a broad, maintainable overview of survey papers across many subfields of machine learning — including deep learning, NLP, computer vision, graph ML, reinforcement learning, recommendation systems, embeddings, meta-learning, and more. Instead of diving into code or experiments, this repo gathers authoritative survey and review articles, summarizing the state-of-the-art, trends, challenges, and directions within each subdomain. For someone trying to get up to speed with a new ML subfield — say graph neural networks or meta-learning — ml-surveys offers a curated reading list of foundational and recent works, helping map the landscape quickly. It is particularly useful for researchers, data scientists, or engineers who want conceptual clarity about where a field stands, what problems remain, and what techniques are most established. -
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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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Golden Layout
A multi window layout manager for webapps
Golden Layout is a JavaScript layout manager designed for building complex, multi-panel web applications with draggable and resizable components. It enables developers to arrange UI elements into flexible layouts that can be dynamically reconfigured by users through drag-and-drop interactions. The system is particularly useful for dashboards, IDE-like interfaces, and data-heavy applications where multiple panels need to coexist and be rearranged. Golden Layout manages component positioning,... -
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JavaScript and React Patterns
Repo related to the FrontendMasters course on JavaScript and React
JavaScript and React Patterns showcases idiomatic patterns and anti-patterns for building React applications, focusing on readability, performance, and maintainability. It translates fuzzy best practices into concrete examples—how to compose components cleanly, manage state thoughtfully, and avoid foot-guns with effects and memoization. The guidance leans on modern React paradigms like hooks, context, custom hooks, and component composition to replace older, heavier patterns. Performance considerations appear throughout, such as when to memoize, how to minimize re-renders, and where to split components. ... -
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React Beautiful DnD
Beautiful and accessible drag and drop for lists with React
React Beautiful DnD is a drag-and-drop library for React that emphasizes fluid motion, accessibility, and natural constraints. It provides Draggable and Droppable primitives that manage state, sensors, and reordering logic for you, so you focus on rendering. Keyboard support, screen-reader announcements, and predictable focus handling make interactions accessible beyond the mouse. The library computes dimensions and movement carefully to avoid jank, including automatic scrolling and collision handling when lists overflow. ... -
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Ion
Portable suite of libraries and tools for building client applications
...Asset utilities handle image formats, texture compression, and color management so pipelines can stay consistent across desktop and mobile GPUs. A “remote” subsystem exposes live application state for introspection and debugging, which is extremely useful when tuning performance on devices you can’t easily instrument. Across the stack, Ion emphasizes deterministic behavior, robust error checking in debug builds. -
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Official YOLOv7
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art
YOLOv7 is the official implementation of the paper “YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.” It is a PyTorch-based object detection project focused on high speed and strong accuracy for real-time computer vision. The repository provides model definitions, training scripts, testing tools, inference examples, pretrained weights, and deployment-oriented materials. YOLOv7 introduced training-time improvements that raise accuracy without increasing inference cost, which is why the project became important in real-time detection research. ... -
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Flowy
The minimal javascript library to create flowcharts
...The library focuses on simplicity and aesthetics, offering a clean look out of the box that can be customized with your own CSS, making it suitable for dashboards, SaaS products, or internal tools. Events emitted by flowy enable integration with your own data model, so you can sync block positions, connections, and metadata back to a database or application state. It is framework-agnostic, so it can be dropped into vanilla JavaScript projects or wrapped inside React, Vue, or other frameworks. -
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Riverpod
A reactive caching and data-binding framework
Riverpod is a modern, framework-agnostic state management and dependency injection library for Dart and Flutter that emphasizes compile-time safety and explicit data flow. Instead of tying state to widget trees, it models state as providers that can be read anywhere, making logic more testable and decoupled from UI. It supports synchronous state, async data (futures/streams) with built-in loading/error handling, and advanced patterns like derived state and provider scopes. ... -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
...We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the new FullyShardedDataParallel (FSDP) wrapper provided by fairscale. Fairseq can be extended through user-supplied plug-ins. Models define the neural network architecture and encapsulate all of the learnable parameters. Criterions compute the loss function given the model outputs and targets. ...
