Search Results for "context" - Page 48
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Showing 2139 open source projects for "context"
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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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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Rawdog
Generate and auto-execute Python scripts in the cli
An CLI assistant that responds by generating and auto-executing a Python script. Rawdog (Recursive Augmentation With Deterministic Output Generations) is a novel alternative to RAG (Retrieval Augmented Generation). Rawdog can self-select context by running scripts to print things, adding the output to the conversation, and then calling itself again. -
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Lens
Lens - The way the world runs Kubernetes
Lens is a Kubernetes IDE designed to simplify the management, monitoring, and troubleshooting of cloud-native applications. It provides a unified, context-aware graphical interface that allows developers and DevOps teams to interact with Kubernetes clusters more efficiently. Lens enables users to visualize workloads, inspect resources, and manage deployments without relying heavily on command-line tools. It supports multiple clusters simultaneously, making it easier to operate complex distributed environments. ... -
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minthcm
AI-native open-source HR: native Claude & MCP integration
MintHCM is the first open-source Human Capital Management platform built AI-first: it offers native support for MCP (Model Context Protocol), letting AI agents like Claude work directly inside your HR workflows — handling scheduling, leave requests, performance review prep, and reporting through natural conversation instead of clicking through menus. Beyond AI, MintHCM covers the full employee journey - recruitment, onboarding & offboarding, time & leave management, performance reviews, and analytics with an API-first architecture you can self-host or run on MintHCM Cloud (free for teams up to 15 employees). ... -
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GPT Discord Bot
Example Discord bot written in Python that uses the completions API
...It is built on top of the discord.py framework and the OpenAI Python library, providing a simple, extensible template for building AI-powered Discord applications. The bot supports a /chat command that spawns a public thread, carries full conversation context across messages, and gracefully closes the thread when context or message limits are reached. Developers can customize system instructions through a config file and modify the model used for responses. While minimal, this project offers a clear example of how to set up authentication, permissions, and message handling for deploying a functional GPT-powered chatbot in Discord. -
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IP Availability Scanner
Fast IP and Port Scanner
...Enhanced with a multithreaded framework, the tool delivers increased speed, supporting functionalities like trigger actions and banner grabbing during port scans. For more advanced options, right-click on the displayed grids. This context menu includes options for port scanning, copying results, and network diagnostics tools like ping and traceroute. Additionally, it allows for easy access to ports using standard protocols such as SSH. A convenient feature is the ability to quickly identify the manufacturer of a MAC address with a simple mouse click. Moreover, the interface is user-friendly, enabling sorting of information by simply clicking on the column headers in the display grid. ... -
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sketch
AI code-writing assistant that understands data content
Sketch is an open-source AI-powered data analysis assistant designed specifically for pandas users, enabling natural language interaction with tabular datasets to generate code, insights, and transformations. It works by summarizing the structure and statistical properties of a dataset and providing that context to a language model, allowing it to generate highly relevant and accurate responses tailored to the data. The tool integrates directly into pandas dataframes through an extension, making it easy to use within existing Python workflows without requiring additional IDE plugins. Sketch supports a variety of tasks including data cleaning, feature engineering, visualization, and exploratory analysis, all driven by simple natural language prompts. ... -
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Chinese-LLaMA-Alpaca 2
Chinese LLaMA-2 & Alpaca-2 Large Model Phase II Project
...These models expand and optimize the Chinese vocabulary on the basis of the original Llama-2, use large-scale Chinese data for incremental pre-training, and further improve the basic semantics and command understanding of Chinese. Performance improvements. The related model supports FlashAttention-2 training, supports 4K context and can be extended up to 18K+ through the NTK method. -
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Zoekt
Fast trigram based code search
zoekt is a fast, scalable code search engine written in Go that builds compressed indexes (shards) for source repositories and serves low-latency regex and substring queries. It optimizes for developer workflows: refresh indexes from Git, search across many repos instantly, and jump into hits with surrounding context and file navigation. The indexer uses efficient n-gram dictionaries and posting lists to keep query latency low, while storing metadata (branch, language, repo) for precise filtering. A built-in web UI and JSON API enable both interactive exploration and integration into editors and other tools. It supports ranking heuristics such as path weighting and symbol awareness to surface likely matches first, even in monorepos. ... -
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Transmittable ThreadLocal
Provides an enhanced InheritableThreadLocal
...In the case of using thread pools and other execution components that will pool multiple threads, the ThreadLocalvalue transfer function is provided to solve the problem of context transfer during asynchronous execution. A Javastandard library should provide standard capabilities for framework/middleware facility development. ThreadLocalThe demand scenario is TransmittableThreadLocalthe potential demand scenario. If your business needs to "pass ThreadLocalvalues in the case of using thread pools and other execution components that will pool multiple threads ", it is the TransmittableThreadLocaltarget scenario. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Sql driver mock for Golang
Sql mock driver for golang to test database interactions
sqlmock is a mock library implementing sql/driver. Which has one and only purpose - to simulate any sql driver behavior in tests, without needing a real database connection. It helps to maintain correct TDD workflow. In v1.2.0 sqlmock.Rows has changed to struct from interface, if you were using any type references to that interface, you will need to switch it to a pointer struct type. Also, sqlmock.Rows were used to implement driver.Rows interface, which was not required or useful for... -
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Functionary
Chat language model that can use tools and interpret the results
...Function definitions are typically provided in JSON schema format, allowing the model to generate structured function calls compatible with modern tool-calling interfaces used in AI applications. Functionary can decide whether to execute tools sequentially or in parallel and can analyze the outputs of those tools to produce context-aware responses. This capability allows AI systems to interact with external services, APIs, or computation engines rather than relying solely on knowledge embedded in the model. -
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elevenlabs-api
elevenlabs-api is an open source Java wrapper around the ElevenLabs
...Generate top-quality spoken audio in any voice and style with the most advanced and multipurpose AI speech tool out there. Our deep learning model renders human intonation and inflections with unprecedented fidelity and adjusts delivery based on context. -
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RWKV
RNN with great LLM performance
...The project is built around the idea that a model can be trained in a parallelizable way like a GPT-style transformer while running inference with recurrent efficiency. This gives RWKV important advantages for long-context use, including lower memory pressure and no traditional key-value cache requirement. The repository includes training code, model notes, research material, and references to current RWKV weights. Its main value is providing the foundation for experimenting with efficient large language models that combine transformer-like scalability with RNN-like runtime behavior. -
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Alpaca Electron
The simplest way to run Alpaca on your own computer
Alpaca Electron is built from the ground up to be the easiest way to chat with the alpaca AI models. No command line or compiling is needed. Only windows is currently supported for now. The new llama.Cpp binaries that support GGUF have not yet been built for other platforms. -
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Customer Support Chat Bot
Customer support bot application that leverages the ChatterBot library
This repository hosts a customer support chatbot application that leverages the ChatterBot library for conversational AI and the Twilio API to engage with clients via messaging. The application is built on Flask, a lightweight WSGI web application framework in Python, making it easy to extend and integrate with web services. -
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Feishu ChatGPT
Voice dialogue, role-playing, multi-topic discussion, picture creation
Feishu × (GPT-3.5 + DALL·E + Whisper) = flying-like work experience. Voice dialogue, role-playing, multi-topic discussion, picture creation, table analysis, document export. Golang language, it goes without saying! Master the gin framework proficiently, developing the backend is as natural as breathing! Familiar with the SDKs of DingTalk, Feishu, Qiwei and other platforms, and be able to develop and integrate a series of amazing functions! Proficient in platform-based detail thinking, let... -
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Intellij rainbow brackets
Rainbow Brackets for IntelliJ based IDEs/Android Studio/HUAWEI DevEco
...Supports Java, Scala, Clojure, Kotlin, Python, Haskell, Agda, Rust, JavaScript, TypeScript, Erlang, Go, Groovy, Ruby, Elixir, ObjectiveC, PHP, HTML, XML, SQL, Apex language, C#, Dart, Pug/Jade, Bash, Vue.js, C# Razor Pages, GLSL(the OpenGL Shading Language), Go Template, C++, C, etc. Eliminate context switching and costly distractions. Create and merge PRs and perform code reviews from inside your IDE while using jump-to-definition, your keybindings, and other IDE favorites. If you didn't like the built-in colors, or want some new color but don't want to try out and pick colors. Please use color generator. And you can use the color generator and config your number of colors at the same time. -
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DSDAPPs
ISO2DSD Converter
ISO2DSD converter runs as a explorer extension plugin on windows desktop. Just click folder context menu, the audio files will be imported to complete conversion. -
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AutoGPT.js
Auto-GPT on the browser
AutoGPT.js is an open-source project that brings autonomous AI agent capabilities similar to AutoGPT directly into the browser environment. The system allows users to run an AI agent capable of performing tasks such as generating code, searching the web, and interacting with files on the local computer. Unlike traditional AutoGPT implementations that require server infrastructure, AutoGPT.js is designed to run primarily in the browser, making it easier to deploy and experiment with... -
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gpu_poor
Calculate token/s & GPU memory requirement for any LLM
...The project focuses on calculating GPU memory requirements and predicted inference speed for different models, hardware configurations, and quantization strategies. By analyzing factors such as model size, context length, batch size, and GPU specifications, the system estimates how much VRAM will be required and how fast tokens can be generated during inference. The tool also provides a detailed breakdown of where GPU memory is allocated, including model weights, KV cache, activations, and other runtime overhead. This information allows developers to evaluate trade-offs between different quantization methods such as GGML, bitsandbytes, and QLoRA before attempting to deploy a model. gpu_poor is particularly useful for researchers and hobbyists. -
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Image Binder
Image Binder - Images-To-PDF Conversion
Introduction Welcome to Image Binder, a versatile application crafted for effortlessly converting and binding multiple images into a single PDF document. Whether you're organizing your image collection or creating professional portfolios, this tool provides a seamless solution with features designed to enhance your experience. -
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Click Kubernetes
The "Command Line Interactive Controller for Kubernetes"
...Its purpose is to manage a large number of Kubernetes clusters/objects quickly and efficiently. Click is a REPL. When running Click, there is a current active config which includes the current Kubernetes context, and optionally a namespace and Kubernetes object. Commands are then applied to the active config so it's not necessary to keep specifying what objects to target. -
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ChatGPT Web
ChatGPT demo webpage built with Express and Vue3
ChatGPT demo webpage built with Express and Vue3. Supports dual models, providing two unofficial ChatGPT API methods. You should first use the API way. If the network is not available, it means that the country is blocked, and you need to build your own proxy. Never use other people's public proxy, it is dangerous. The reverse proxy will expose your access tokens to third parties when using the accessTokenthe method, and doing so should have no ill effects, but consider the risks before... -
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HttpRunner
Testing framework that began with API and performance testing
HttpRunner is an open-source testing framework that began with API and performance testing and has evolved into a general, extensible test platform. The current major version is implemented in Go, with the legacy Python edition split to a separate repository; this shift emphasizes a single, fast, cross-platform runtime for modern pipelines. It provides declarative test cases, data-driven parametrization, and plugin mechanisms so teams can compose reusable steps and validations at scale.... -
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LLM Applications
A comprehensive guide to building RAG-based LLM applications
...It provides step-by-step guidance for constructing systems that ingest documents, split them into chunks, generate embeddings, index them in vector databases, and retrieve relevant context during inference. The repository also shows how these components can be scaled and deployed using distributed computing frameworks such as Ray. In addition to development workflows, the project includes notebooks, datasets, and evaluation tools that help developers experiment with different retrieval strategies and model configurations.
