Search Results for "frameworks" - Page 89
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Showing 11207 open source projects for "frameworks"
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dLLM
dLLM: Simple Diffusion Language Modeling
dLLM is an open-source framework designed to simplify the development, training, and evaluation of diffusion-based large language models. Unlike traditional autoregressive models that generate text sequentially token by token, diffusion language models generate text through an iterative denoising process that refines masked tokens over multiple steps. This approach allows models to reason over the entire sequence simultaneously and potentially produce more coherent outputs with bidirectional... -
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MatMul-Free LM
Implementation for MatMul-free LM
...The repository provides implementations of models at several parameter scales and includes tools for experimenting with the architecture using modern machine learning frameworks. -
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AI Agents From Scratch
Demystify AI agents by building them yourself. Local LLMs
AI Agents from Scratch is an educational repository designed to teach developers how to build autonomous AI agents using large language models and modern AI frameworks. The project walks through the process of constructing agents step by step, beginning with simple prompt-based interactions and gradually introducing more advanced capabilities such as planning, tool use, and memory. The repository provides example implementations that demonstrate how language models can interact with external systems, perform reasoning tasks, and execute structured workflows. ... -
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Sparrow
Structured data extraction and instruction calling with ML, LLM
...It combines several components, including OCR pipelines, vision-language models, and LLM-based reasoning modules to identify and extract meaningful data fields from heterogeneous document layouts. The architecture is modular, allowing developers to build customizable processing pipelines that integrate with external tools and data extraction frameworks. Sparrow also includes workflow orchestration tools that allow multiple extraction tasks to be combined into automated pipelines for large-scale document processing. -
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Skill Scanner
Security Scanner for Agent Skills
...While still evolving with contributions and issue discussions, it shows the community’s interest in building safer AI ecosystems around reusable capabilities. The scanner also serves as a foundation for more sophisticated vetting frameworks that might be incorporated into CI/CD pipelines. -
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Step 3.5 Flash
Fast, Sharp & Reliable Agentic Intelligence
Step 3.5 Flash is a cutting-edge, open-source large language model developed by StepFun-AI that pushes the frontier of efficient reasoning and “agentic” intelligence in a way that makes powerful AI accessible beyond proprietary black boxes. Unlike dense models that activate all their parameters for every token, Step 3.5 Flash uses a sparse Mixture-of-Experts (MoE) architecture that selectively engages only about 11 billion of its roughly 196 billion total parameters per token, delivering... -
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Project Dashboard
A modern project & task management dashboard
...It provides Kanban boards, task lists, timelines, and customizable widgets that can surface everything from completion percentages to individual assignments and due dates. The template is built with modern frontend frameworks and pairs with backend APIs for authentication, data storage, and user management, allowing multiple collaborators to share real-time updates securely. Its modular design lets you pick and choose which panels or components matter most for your workflow and tailor layouts to match your process — whether agile, waterfall, or hybrid. ... -
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VibeKit
Run Claude Code, Gemini, Codex in a clean, isolated sandbox
Vibekit is an open-source toolkit focused on rapid prototyping and building of AI-driven experiences, particularly those that integrate multimodal inputs, reactive interfaces, and context-aware behaviors. It provides a set of abstractions and utilities that let developers connect generative models to UI frameworks, sensors, event streams, and external services without having to build plumbing from scratch. Instead of treating AI models as black boxes behind simple prompts, Vibekit encourages developers to define declarative behaviors, reactive rules, and data flows that make the outputs of models part of living application logic. This can include things like dynamic content generation, live adaptation based on user interaction, and connectors to external APIs for enriched grounding. ... -
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Menubar Electron
High level way to create menubar desktop applications with electron
Menubar Electron is a lightweight JavaScript library for creating desktop applications with persistent menu bar (Mac) or system tray (Windows/Linux) icons/interfaces, allowing developers to build utility apps that live in the user’s system bar and open a small window or popup when clicked. It serves as a wrapper around frameworks like Electron or Node GUI backends, abstracting common tasks such as positioning the popup window, handling click events, and integrating native tray interactions without writing platform-specific code. The library makes it easy to build cross-platform utilities like clipboard managers, quick note popups, status displays, or background tools that users access from the bar icon without filling taskbars or docks. menubar handles the lifecycle of the UI window, system tray icon, and related events so developers can focus on the application logic rather than boilerplate integration. -
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c15t
The Developer-First Cookie Banner
...Rather than relying on heavy third-party scripts or services, it offers a flexible, headless engine that web teams can integrate directly into their front-end and edge stacks with minimal overhead, giving full control over user experience and data handling. c15t runs entirely in the front end or at the edge, blocking or allowing scripts based on user decisions and tracking those states for observability and auditing. It provides framework-agnostic core logic as well as adapters and components for popular frameworks like React and Next.js, making it easy to scaffold banner UIs, preference centers, and consent dialogs while keeping performance high and bundle sizes low. -
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Chinese-XLNet
Chinese XLNet pre-trained model
Chinese-XLNet is a Chinese language pre-trained model based on the XLNet architecture, providing an advanced foundation for natural language processing tasks in Mandarin and other Chinese dialects. Unlike traditional masked language modeling, XLNet uses a permutation language modeling objective that captures bidirectional context more effectively by training over all possible token orderings, yielding richer contextual representations. This model is trained on large-scale Chinese text... -
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react-fullpage
Official React.js wrapper for fullPage.js
react-fullpage is the official React wrapper for fullPage.js, providing a component that brings full-screen, section-by-section scrolling layouts into React applications. The wrapper uses a render-prop API, where you pass a render function that receives component state and the fullpageApi, allowing you to build React JSX markup while delegating scroll behavior to fullPage.js under the hood. It is distributed in multiple formats, including a standard ES module and a UMD bundle, so it can be... -
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Ultracite
A highly opinionated, zero-configuration linter and formatter
...It is built on top of the Biome toolchain (written in Rust) and aims to deliver sub-second performance so that formatting and linting feel seamless, even on large projects. Because it comes pre-configured with sensible defaults for frameworks like React and Next.js, developers can adopt it with minimal setup—simply run npx ultracite init and start coding. The project emphasizes type-safety and best practices, enforcing stricter rules out of the box so that unsafe or sloppy patterns are discouraged. It also positions itself as “AI-ready,” meaning it’s designed to integrate smoothly into workflows where AI code generation (e.g., from Copilot, Claude Code, etc) is involved, ensuring consistent style across team-written and machine-written code. -
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3D Website with Three.js
The most impressive websites in the world use 3D graphics
Project_3D_developer_portfolio is a code-repository and tutorial project that teaches how to build a developer portfolio website enhanced with 3D graphics and animations, using technologies like React, Three.js, React Three Fiber, Tailwind CSS, Vite and more. The idea is to help developers create “the most impressive websites” by blending immersive 3D scenes and interactive UI elements with modern web frameworks. The README walks through the tech stack, features and how to get started, including cloning the repo, installing dependencies and running a dev server. Among its features are a customizable 3D hero section (e.g., a 3D model of a desktop), interactive skills and work sections with animations, a 3D earth model in the contact section, and responsive design so it works across devices. ... -
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Node.js Best Practices
The Node.js best practices list (July 2024)
...Each guideline is phrased as a practical recommendation with motivation and trade-offs, not just a rule, which makes it easier to reach team consensus. The content aims to be technology-agnostic within the Node ecosystem, providing patterns that work whether you’re using Express, Fastify, Nest, or custom frameworks. It is designed for real-world constraints: production deployment, observability, CI/CD, containerization, and cross-functional collaboration. Because it’s continuously updated, the guide helps keep engineering standards aligned with evolving Node versions and tooling, turning tribal knowledge into a shared, documented baseline for teams. -
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AWS SDK for Java
The official AWS SDK for Java 1.x (In Maintenance Mode
...It provides service clients for nearly the entire AWS surface area, handling request signing, retries, pagination, and error translation so you can focus on business logic. The SDK offers both synchronous and asynchronous clients and integrates with popular HTTP stacks, credential providers, and logging frameworks. Its data models map directly to service APIs, making it straightforward to construct requests and parse responses. Extensive configuration options let you tune connection pools, timeouts, retry policies, and regional behavior for production workloads. Although superseded by v2 for new projects, v1 remains widely used in mature systems due to its broad coverage and stability. -
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Conscrypt
Conscrypt is a Java Security Provider
Conscrypt is a modern TLS/SSL provider for Java that replaces the default JCE/JCA crypto stack with one backed by BoringSSL for better performance and security posture. It is implemented as a drop-in SecurityProvider, so applications and frameworks can opt in without changing high-level HTTPS or socket code. The provider focuses on contemporary protocol hygiene—up-to-date cipher suite selection, ALPN, session resumption, and hardened defaults—so Java servers and clients negotiate secure connections by construction. Because it builds on BoringSSL’s audited primitives and constant-time implementations, it reduces the risk of subtle side-channel issues while improving handshake and bulk crypto throughput. ... -
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PowerSharpPack
Offensive CSharp Projects wraped into Powershell for easy usage
...Included projects cover a broad range of post-exploitation and reconnaissance needs: Kerberos tooling, host survey utilities, credential and browser data extractors, AD enumeration, privilege escalation helpers, persistence frameworks, and file/handle utilities. For convenience the repo also ships per-binary PowerShell loaders when users prefer to avoid loading the entire pack, plus helper binaries used for compression/encoding. -
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Giter8
A command line tool to apply templates defined on GitHub
...Because it's general, it can be used for anything that fits templating (microservices, builds, documentation, modules, etc.). giter8 is light, extensible, and well-adopted in Scala communities (e.g. many scaffolding tools or frameworks provide giter8 templates). -
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Sinatra
Classy web-development dressed in a DSL
Sinatra is a minimalist Ruby web framework that focuses on simplicity and flexibility, letting developers define web applications in just a few lines of code. Its DSL maps routes directly to Ruby blocks, making it straightforward to build APIs, small services, and quick prototypes without the overhead of full-stack frameworks like Rails. Despite its simplicity, Sinatra supports middleware, templates, sessions, filters, and helpers, so it can grow with more complex requirements. The framework is Rack-based, which means it is highly compatible with the Ruby web ecosystem and can plug into larger applications as a lightweight component. Because of its low footprint, it’s ideal for microservices, command-line dashboards, and educational projects. -
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Reachability
ARC and GCD Compatible Reachability Class for iOS and MacOS
...The implementation is careful about threading and runloop scheduling so events arrive reliably without blocking the main thread. It also supports reachability checks for specific hosts, enabling smarter behavior than a simple “internet yes/no” toggle. Despite newer frameworks existing today, Reachability remains widely referenced for its simple API and predictable behavior in legacy Objective-C codebases. -
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OpenAuth
Universal, standards-based auth provider
...It supports common patterns such as OAuth with popular identity providers, email-based links or codes, and passkeys/passwordless options, while exposing a simple API that fits full-stack frameworks. The project is designed to be infrastructure-friendly, aligning with managed stores and serverless platforms so sessions, webhooks, and callbacks work reliably at scale. It emphasizes secure defaults, including robust token handling, CSRF protections, and clear session lifecycles, while leaving room for customization where apps need it. ... -
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Laminar
Open-source all-in-one platform for engineering AI products
Laminar is an open source all-in-one platform for engineering best-in-class LLM products. Data governs the quality of your LLM application. Laminar helps you collect it, understand it, and use it. When you trace your LLM application, you get a clear picture of every step of execution and simultaneously collect invaluable data. You can use it to set up better evaluations, as dynamic few-shot examples, and for fine-tuning. All traces are sent in the background via gRPC with minimal overhead.... -
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Prompt Declaration Language
Prompt Declaration Language is a declarative prompt programming lang
...Whether LLMs are used as coding assistants or software components, reliability remains an important concern. LLMs have a textual interface and the structure of useful prompts is not captured formally. Programming frameworks do not enforce or validate such structures since they are not specified in a machine-consumable way. The purpose of the Prompt Declaration Language (PDL) is to allow developers to specify the structure of prompts and to enforce it, while providing a unified programming framework for composing LLMs with rule-based systems. -
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Infinity
Low-latency REST API for serving text-embeddings
Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting all sentence-transformer models and frameworks. Infinity is developed under MIT License. Infinity powers inference behind Gradient.ai and other Embedding API providers.