Search Results for "swap"
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76 projects for "swap" with 1 filter applied:
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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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Swap
Currency exchange rates library
Swap is a PHP library designed to retrieve and manage currency exchange rates from multiple providers through a unified and extensible interface. It acts as an abstraction layer over various exchange rate APIs such as Fixer, currencylayer, and European Central Bank data sources, allowing developers to switch providers or combine them without changing application logic. -
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MEV Arbitrage Bot for Ethereum
Arbitrage bot is a smart contract connected to an external script
...The contract is designed to search for and execute swaps between approved Uniswap pools and routers in a single transaction. Owners can whitelist tokens and routers, configure fees and swap limits, pause execution, revoke approvals, and withdraw assets. The automation layer performs dry-run gas estimates before sending eligible transactions. It also monitors live Uniswap V2 and V3 swap events and displays activity in real time. The project is intended to automate on-chain arbitrage, although actual profitability depends on competition, volatility, liquidity, and gas costs. -
3
TikTok-ViewBot
ViewBot using requests updated 2025
TikTok-ViewBot explores automated interactions with TikTok’s viewing mechanisms for research and educational purposes. The code demonstrates how scripted traffic might be generated and measured, highlighting the kinds of heuristics a platform could use to validate or discount views. It is often used to study rate limits, signature schemes, request patterns, and the fragility of naïve automation. Because it touches on automation against a third-party service, responsible use and adherence to... -
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DeepSeek-V3.2-Exp
An experimental version of DeepSeek model
DeepSeek-V3.2-Exp is an experimental release of the DeepSeek model family, intended as a stepping stone toward the next generation architecture. The key innovation in this version is DeepSeek Sparse Attention (DSA), a sparse attention mechanism that aims to optimize training and inference efficiency in long-context settings without degrading output quality. According to the authors, they aligned the training setup of V3.2-Exp with V3.1-Terminus so that benchmark results remain largely... -
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.
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5
LeetCode Book
Comprehensive study guide for coding interviews
...Explanations are concise but intentional, highlighting why a pattern fits, how to reason about boundary cases, and the time/space trade-offs. Many entries include template code and “swap-in” variations, helping you recognize how the same technique adapts across similar problems. The book also emphasizes problem-solving habits like deriving invariants, choosing appropriate data structures, and verifying with small counterexamples. It’s suitable for newcomers building fundamentals and for experienced engineers polishing timing and correctness under interview pressure. -
6
agent heroes
Generate, animate and schedule your AI characters
...The framework is designed to integrate with modern large language models and external APIs, allowing agents to access tools, retrieve data, and perform actions dynamically. It also supports modular design, making it possible to extend agent capabilities or swap components without redesigning the entire system. agentheroes is particularly useful for automation, workflow orchestration, and experimentation with collaborative AI systems. -
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Neuron AI
The PHP Agentic Framework to build production-ready AI driven apps
...The framework provides an Agent class that can be extended to inherit core capabilities like memory, tools, function calling, and retrieval-augmented generation. Its design is modular, so developers can swap model providers with minimal changes to their application code, which makes it practical for teams that need flexibility across vendors. The project also supports structured output, monitoring, MCP connectivity, and workflow patterns that include human-in-the-loop intervention when automated flows need review or correction. -
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Open-LLM-VTuber
Open source AI VTuber platform with voice chat and Live2D avatars
...Users can speak directly to the AI character, and the system can respond with a generated voice while animating a Live2D avatar to simulate a talking virtual personality. Open-LLM-VTuber is modular, allowing developers to swap or configure different language models, speech recognition engines, and voice synthesis systems depending on their needs. It can run locally and supports both offline and online AI services, giving users flexibility in how models and resources are used. Open-LLM-VTuber was originally inspired by the goal of recreating an AI VTuber experience using open source tools that work across multiple operating systems. -
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Agently 4
Build GenAI application quick and easy
Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. The project aims at... -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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10
Vision Transformer Pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA
...It’s widely used as an educational reference for people learning transformers in vision and as a lightweight baseline for research prototypes. The project encourages experimentation—swap optimizers, change augmentations, or plug the transformer backbone into downstream tasks. -
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Spring AI
An Application Framework for AI Engineering
...Spring AI also includes support for retrieval-augmented generation, enabling applications to connect language models with structured and unstructured data sources. Its architecture encourages modular design, making it easier to extend or swap components without rewriting large parts of the system. -
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react-native-fast-tflite
High-performance TensorFlow Lite library for React Native
...It is built with Nitro Modules and uses the low-level C and C++ TensorFlow Lite core API for direct memory access. The library supports zero-copy ArrayBuffers, which helps reduce overhead when passing model inputs and outputs through React Native. It can load and swap TensorFlow Lite models at runtime, making it useful for apps that run multiple machine learning tasks. The project supports GPU-accelerated delegates such as CoreML, Metal, and OpenGL. It is especially useful for mobile computer vision, on-device inference, and VisionCamera-based workflows that need fast local model execution. -
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DeepSeek-OCR
Contexts Optical Compression
...It supports local deployment, enabling organizations concerned about privacy or latency to run the pipeline on-premises rather than send sensitive documents to third-party cloud services. The codebase is written in Python with a focus on modularity: you can swap preprocessing, recognition, and post-processing components as needed for custom workflows. -
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AI Researcher
An autonomous AI researcher
...Each agent operates with clear roles — such as researcher, analyst, and summarizer — and they communicate through a task-management interface that ensures progress tracking and iterative refinement. The system emphasizes modularity, so teams can swap in new reasoning modules, data retrieval strategies, or domain knowledge bases depending on the research topic. Through self-supervised feedback loops, agents adjust their strategies based on prior outcomes, improving both the quality and relevance of results over time. -
15
NVIDIA Earth2Studio
Open-source deep-learning framework
...It provides a unified API that lets researchers, data scientists, and engineers build complex forecasting and analysis pipelines by combining modular prognostic and diagnostic AI models with a diverse range of real-world data sources such as global forecast systems, reanalysis datasets, and satellite feeds. The toolkit makes it easy to run deterministic and ensemble forecasts, swap models interchangeably, and process large geophysical datasets with Xarray structures, enabling experimentation with state-of-the-art deep learning models for climate and atmospheric prediction. Users can extend Earth2Studio with optional model packs, advanced data interfaces, statistical operators, and backend integrations that support flexible workflows from simple tests to large-scale operational inference. -
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Tunix
A JAX-native LLM Post-Training Library
...It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. Examples and reference configs demonstrate end-to-end runs for common model families, helping teams reproduce baselines before customizing. Tunix also leans into research ergonomics: logging, checkpointing, and metrics are built in, and the code is written to be hackable rather than monolithic. ... -
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PokeeResearch-7B
Pokee Deep Research Model Open Source Repo
...The repository includes evaluation results on multi-step QA and research benchmarks, illustrating how web-time context boosts accuracy. Because the system is modular, you can swap the search component, reader, or policy to fit private deployments or different data domains. It’s aimed at developers who want a transparent, hackable research agent they can run locally or wire into existing workflows. -
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Large Concept Model
Language modeling in a sentence representation space
...Probing tools help diagnose what the model knows—e.g., attribute recognition, relation understanding, or compositionality—so you can iterate on data and objectives. The design is modular, making it straightforward to swap backbones, change objectives, or integrate retrieval components. -
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Trae Agent
LLM-based agent for general purpose software engineering tasks
Trae Agent is an open-source, LLM-based agent system also developed by ByteDance, focused primarily on automating software engineering workflows. It provides a command-line interface (CLI) that accepts natural-language instructions (e.g. “refactor this module,” “write a unit test,” “generate a REST API skeleton”), and then orchestrates tool-based workflows — such as file editing, shell/batch commands, code generation, code formatting or refactoring — to carry out complex engineering tasks.... -
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Job Recommend
The basics of building a job recommendation workflow
...You can study how to transform raw text into features and how to evaluate simple heuristics or baseline models. The code encourages experimentation, inviting you to swap scoring rules, adjust weights, or plug in alternative representations. It serves as a starting point for understanding recommendation pipelines before moving to production-grade systems. -
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xosview
X11 based performance meter
Xosview displays many system related stats such as cpu usage, memory usage, swap usage, network usage, interrupt activity, serial activity, load average and more inside of an X Window. Platforms: Linux, NetBSD, FreeBSD, OpenBSD, Dragonfly BSD, Solaris, GNU HURD, Minix, Windows/cygwin. http://xosview.sourceforge.net/ -
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EulerSharp
Euler Yet another proof Engine
... [1] http://eulersharp.sourceforge.net/README [2] http://www.w3.org/DesignIssues/diagrams/sweb-stack/2006a [3] http://mathworld.wolfram.com/KoenigsbergBridgeProblem.html [4] http://www.w3.org/TeamSubmission/n3/ [5] http://www.w3.org/2000/10/swap/doc/cwm -
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RateIt
Rating plugin for jQuery. Fast, Progressive enhancement, touch support
Rating plugin for jQuery. Fast, Progressive enhancement, touch support, customizable (just swap out the images, or change some CSS), Unobtrusive JavaScript (using HTML5 data-* attributes), RTL support, supports as many stars as you'd like, and also any step size. Although it does the same job as the rest of the jQuery star rating plugins, the main difference is its simplicity. Most plugins create an element for each (partial) star, be it a div with a star background, or an img tag. ... -
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Passport
Simple, unobtrusive authentication for Node.js
...It doesn’t impose specific user model structures or storage strategies but instead offers a unified API driven by “strategies”—small plugins that encapsulate authentication logic for protocols such as local username/password, OAuth, OpenID, SAML, and many others. This design allows developers to plug in only the strategies they need and swap or add new ones without rewriting core application logic, making Passport highly adaptable for diverse authentication requirements. Passport hooks into Express (and similar frameworks) using middleware functions that run during the request lifecycle, simplifying tasks like session management, credential validation, and user serialization. -
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CSS Theme Change
Change CSS theme with toggle, buttons or select using CSS properties
CSS Theme Change is a small utility for managing CSS theme toggling (such as light/dark mode) in web projects, designed to be lightweight, easy to integrate, and framework-agnostic. Instead of relying on heavy JavaScript frameworks or complex state management, it offers a simple API that listens to system preferences and UI interactions to swap theme classes or variables in real time. It can react to user toggles as well as automatically adapt to the user’s OS-level dark/light mode settings, helping developers build interfaces that feel modern and responsive without writing boilerplate theme code. Because it abstracts away cross-browser quirks and standardizes how CSS variables or classes are applied, it saves time and reduces bugs related to inconsistent theme behavior. ...
