Search Results for "time code" - Page 8
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735 projects for "time code" with 1 filter applied:
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NLP
Open source NLP guide with models, methods, and real use cases
...NLP extends into real-world applications, including sentiment analysis and text classification, helping readers connect concepts to use cases. Designed for accessibility, the project evolves over time, allowing updates and improvements as NLP techniques advance. It reflects a practical approach to learning, where readers can explore code, experiment with models, and build foundational skills in machine learning-driven language processing. -
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StoryMem
Official code for StoryMem: Multi-shot Long Video Storytelling
StoryMem is a narrative-focused memory accumulation system that lets users build, store, and reference past conversational context or story elements with an AI, effectively enabling the AI to maintain and recall personalized story memories or character arcs over time. Instead of treating each interaction as stateless, it tracks user-defined memory nodes, tags, and story threads so that future interactions can draw on established narrative context like character traits, past events, or... -
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Skills Janitor
Audit, track usage, and compare your Claude Code skills
The Skills Janitor project is a lightweight plugin designed to manage, audit, and optimize AI agent skill ecosystems, particularly for environments like Claude Code and OpenAI Codex. It functions as a “maintenance layer” for AI skills by automatically scanning installed skill directories, identifying duplicates, and analyzing their structure and usage. One of its core purposes is to help developers maintain a clean and efficient skill environment, especially as the number of installed skills grows over time. ... -
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Build Your Own OpenClaw
A step-by-step guide to build your own AI agent
...The project is structured into 18 progressive stages, each introducing a new concept such as tool usage, memory persistence, event-driven design, and multi-agent coordination, with each step including both explanatory documentation and runnable code. It begins with foundational concepts like conversational loops and tool integration, then expands into more advanced capabilities such as dynamic skill loading, web interaction, and context management. As the tutorial progresses, it introduces architectural improvements including event-driven systems, WebSocket communication, and configuration hot-reloading to support scalability and real-time interaction. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Generative AI Swift
This SDK is now deprecated, use the unified Firebase SDK
...Although marked “deprecated”, the repo demonstrates how to integrate Gemini inference into iOS and macOS apps via Swift APIs, providing boilerplate for prompt dispatching, streaming responses, UI integration, and error handling. It includes a sample app that showcases a chat interface, where users send messages and receive responses streamed in real time, with UI updates as tokens arrive. The code also handles request queuing, cancellation, and retry logic, giving developers a realistic foundation rather than a minimalist “hello world.” Despite its deprecated label, the repo remains valuable for developers who want to see how a native Swift integration might be structured before migrating to newer SDKs. ... -
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GQty
The No-GraphQL Client for TypeScript
GQty is a TypeScript-first GraphQL client that removes the need to handwrite and maintain GraphQL queries in many application workflows. Instead of manually defining query documents, developers access data through generated, strongly typed client structures. The library automatically tracks what data the application uses and turns that into GraphQL operations. This helps reduce duplicated schema knowledge between front-end code and query files. It also surfaces API-breaking changes through... -
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JetCache
JetCache is a Java cache framework
JetCache is a Java cache abstraction that provides uniform usage for different caching solutions. It provides more powerful annotations than those in Spring Cache. The annotations in JetCache support native TTL, two-level caching, and automatically refresh in distributed environments, also you can manipulate Cache instances by your code. Currently, there are four implementations: RedisCache, TairCache(not open source on github), CaffeineCache (in memory) and a simple LinkedHashMapCache (in... -
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Modelence
Modelence is an all-in-one TypeScript platform
...It includes scaffolding and tooling to create a new application quickly, then run a local development server with a predictable structure that’s easy to extend. Modelence also focuses on “standard features” that most apps require, so developers can spend more time on product logic rather than setup and glue code. -
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OWL
Optimized Workforce Learning for General Multi-Agent Assistance
OWL (Optimized Workforce Learning) is a sophisticated open-source framework built on the CAMEL-AI ecosystem for orchestrating teams of AI agents to collaboratively solve complex, real-world tasks with dynamic planning and automation capabilities. Unlike single-agent systems, it treats task completion as a collaborative workforce where agents take on specialized roles (planning, execution, analysis) and coordinate via a modular multi-agent architecture that supports flexible teamwork across... -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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DynamicalSystems.jl
Award winning software library for nonlinear dynamics timeseries
DynamicalSystems.jl is an award-winning Julia software library for nonlinear dynamics and nonlinear time series analysis. To install DynamicalSystems.jl, run import Pkg; Pkg.add("DynamicalSystems"). To learn how to use it and see its contents visit the documentation, which you can either find online or build locally by running the docs/make.jl file. DynamicalSystems.jl is part of JuliaDynamics, an organization dedicated to creating high-quality scientific software. All implemented algorithms... -
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StimulusReflex
Build reactive applications with the Rails tooling you already know
StimulusReflex is a Ruby on Rails framework for building reactive, real-time web interfaces without moving most application logic into a heavy frontend framework. It connects Stimulus controllers, Rails server-side actions, Action Cable, and CableReady to respond to user interactions over WebSockets. When a user clicks, types, submits, or triggers another event, the server processes the action and sends DOM updates back to the browser. -
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MoonZoon
Rust Fullstack Framework
MoonZoon is a full-stack Rust web framework that enables developers to build reactive web applications using a unified Rust codebase for both frontend and backend logic. It is built around a reactive programming model where UI updates are automatically triggered by changes in application state, reducing the need for manual DOM manipulation or complex state management patterns. The framework leverages WebAssembly for the frontend, allowing Rust code to run directly in the browser while... -
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Synkra AIOS
AI-Orchestrated System for Full Stack Development
...It acts as a core foundation layer that connects AI-driven tooling with standard project infrastructure tasks, enabling developers to scaffold, configure, and maintain software stacks more efficiently. The framework includes features for project setup, environment configuration, deployment scaffolding, and intelligent code generation, potentially reducing time spent on boilerplate and repetitive engineering tasks. Synkra AIOS positions itself as a productivity middleware that integrates AI reasoning within traditional devops, front-end, and back-end workflows, allowing teams to produce production-ready applications faster. -
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Reagent
A minimalistic ClojureScript interface to React.js
Reagent is a minimalistic ClojureScript interface to React that enables developers to write efficient React components using plain ClojureScript functions and data, leveraging a Hiccup-like syntax and immutable state to simplify UI creation. React is pretty darn fast, and so is Reagent. It should even be faster than plain old javascript React a lot of the time, since ClojureScript allows us to skip a lot of unnecessary rendering (through judicious use of React's shouldComponentUpdate). The ClojureScript overhead is kept down, thanks to lots of caching. Code size is a little bigger than React.js, but still quite small. The todomvc example clocks in at roughly 79K gzipped, using advanced compilation. -
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Sensu Go
Simple. Scalable. Multi-cloud monitoring
Sensu is an open source monitoring tool for ephemeral infrastructure and distributed applications. It is an agent-based monitoring system with built-in auto-discovery, making it very well-suited for cloud environments. Sensu uses service checks to monitor service health and collect telemetry data. It also has a number of well-defined APIs for configuration, external data input, and to provide access to Sensu's data. Sensu is extremely extensible and is commonly referred to as "the monitoring... -
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async-graphql
A GraphQL server library implemented in Rust
...It is fully compatible with the GraphQL specification and most of its extensions and offers type safety and high performance. You can define a Schema in Rust and procedural macros will automatically generate code for a GraphQL query. This library does not extend Rust's syntax, which means that Rustfmt can be used normally. I value this highly and it is one of the reasons why I developed Async-graphql. I like GraphQL and Rust. I've been using Juniper, which solves the problem of implementing a GraphQL server with Rust. But Juniper had several problems, the most important of which is that it didn't support async/await at the time. ... -
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ByteHook
ByteHook is an Android PLT hook library
ByteHook is a ByteDance-hosted project whose name suggests a hooking or instrumentation library, likely used for hooking system calls or API calls for monitoring, sandboxing or instrumentation. The repository appears to aim at low-level hooking/injection capabilities, perhaps to support runtime introspection, behavioral monitoring, or hooking-based instrumentation (e.g. for security, tracing, sandboxing, or debugging). Because hooking is a common technique for intercepting library or system... -
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Exclusively Dark Image Dataset
ExDARK dataset is the largest collection of low-light images
...It has been widely used in studies of low-light image enhancement, deep learning approaches, and domain adaptation for vision models. Researchers can also explore its associated source code for low-light image enhancement tasks, making it an essential resource for advancing work in night-time and low-light visual recognition. -
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Matomo
Alternative to Google Analytics that gives you full control over data
Google Analytics alternative that protects your data and your customers' privacy. Take back control with Matomo – a powerful web analytics platform that gives you 100% data ownership. You could lose your customers’ trust and risk damaging your reputation if people learn their data is used for Google’s “own purposes”. By choosing the ethical alternative, Matomo, you won’t make privacy sacrifices or compromise your site. You can even use Matomo without needing to ask for consent. With 100%... -
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verl
Volcano Engine Reinforcement Learning for LLMs
...VERL is meant for both research and production hardening: logging, checkpointing, and evaluation suites are built in so you can track learning dynamics and regressions over time. -
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Context Hub
Makes coding agents get smarter with every task
...Feedback can be sent back to maintainers so shared documentation improves over time. Context Hub is especially useful for teams that use AI coding assistants and want more reliable API usage, fewer hallucinated calls, and a transparent source of agent-readable context. -
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GPTImage2Skill
GPT Image 2 prompt gallery, image prompt library, agentic skill
...It provides reusable image prompts across creative, technical, academic, interface, design, photography, typography, gaming, anime, map, tattoo, and reference-editing use cases. The project is designed to help agents and users produce stronger visual outputs without starting from a blank prompt every time. Its gallery is organized into category files so an agent can load only the relevant prompt references instead of overwhelming the context window. It also includes installation paths for skill-capable environments such as Claude Code, Codex, OpenClaw, and other agent runtimes. Overall, it is useful as both a learning resource for prompt structure and a practical toolkit for repeatable image generation workflows. -
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ARIS
Lightweight Markdown-only skills for autonomous ML research
...The system is designed to run iterative cycles of research, coding, testing, and refinement, effectively simulating a “sleep mode” where productive work continues in the background. It integrates with AI tools such as Claude Code to generate solutions, analyze results, and improve outputs over time. The project emphasizes long-running workflows that can explore problem spaces more deeply than manual intervention would typically allow. It also highlights the potential of autonomous agents to handle repetitive or exploratory tasks that would otherwise require significant human effort. ... -
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rebroswer-patches
Patches for Puppeteer and Playwright to reduce automation detection
...Developers can enable, disable, or remove the patches when needed, making it flexible for experimentation or debugging workflows. rebrowser-patches is maintained with the expectation that automation libraries evolve over time. -
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papermill
Parameterize, execute, and analyze notebooks
papermill is a Python library and command-line tool that transforms Jupyter Notebooks into repeatable, parameterized workflows by allowing users to define editable parameters within notebooks and then programmatically execute them with different inputs. Instead of manually opening and running a notebook inside JupyterLab or Notebook every time, Papermill lets you inject new values into a specially tagged parameters cell and execute the entire notebook automatically via a script or automation pipeline, which enables robust automation of data analysis, reports, and experiments. This capability is particularly useful in data science and analytics, where a template notebook might be reused for batching reports across dates, customers, or other variables without rewriting code or duplicating notebooks. ...
