Search Results for "interface" - Page 27
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Showing 898 open source projects for "interface"
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Kanaries RATH
Next generation of automated data exploratory analysis visualization
RATH is not just an open-source alternative to Data Analysis and Visualization tools such as Tableau, but it automates your Exploratory Data Analysis workflow with an Augmented Analytic engine by discovering patterns, insights, causals and presents those insights with powerful auto-generated multi-dimensional data visualization. -
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ekho
Chinese text-to-speech engine
ekho is a project with relatively sparse documentation, but from the repository it appears to be a small-scale tool for audio processing and playback, possibly with features for speech synthesis or manipulation. The repo includes scripts and configuration files suggesting interactions with media/audio handling libraries. Because of limited README detail, it seems targeted at users comfortable reading and modifying code, rather than end users expecting polished UIs. The code structure implies... -
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PHP Telegram Bot Api
Native PHP Wrapper for Telegram BOT API
...Bots are special Telegram accounts designed to handle messages automatically. Users can interact with bots by sending them command messages in private or group chats. The Bot API is an HTTP-based interface created for developers keen on building bots for Telegram. -
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FlubuCore
A cross platform build and deployment automation system
"FlubuCore - Fluent Builder Core" is a cross-platform build and deployment automation system. You can define your build and deployment scripts in C# using an intuitive fluent interface. This gives you code completion, IntelliSense, debugging, FlubuCore custom analyzers, and native access to the whole .NET ecosystem inside of your scripts. FlubuCore offers a .net (core) console application that uses power of roslyn to compile and execute scripts. Intuitive and easy to learn. C#, fluent interface, and IntelliSense make even the most complex script creation a breeze. ... -
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Edge GPT
Reverse engineered API of Microsoft's Bing Chat
EdgeGPT is a reverse-engineered client project that exposed a programmatic interface to Microsoft’s Bing Chat experience (often associated with “Edge” due to access patterns and requirements at the time). It was built to let developers run prompts and retrieve responses through scripts and applications, effectively turning the chat experience into something that could be automated and integrated into tools. The repository gained popularity because it provided a practical way to experiment with Bing Chat programmatically, including CLI-style usage patterns and developer-oriented documentation. ... -
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Chat with GPT
An open-source ChatGPT app with a voice
Chat with GPT is an open-source conversational interface designed to provide an enhanced user experience for interacting with ChatGPT-style language models. The application serves as a customizable alternative client that allows users to connect to language model APIs using their own credentials. Built with modern web technologies such as React and TypeScript, the platform provides a responsive chat interface with advanced features for conversation management. -
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Bard
Python SDK/API for reverse engineered Google Bard
The Bard repository from acheong08 is an unofficial client library and set of tools designed to interact programmatically with Google Bard, Google’s conversational AI service, allowing developers to automate queries, integrate Bard into their own applications, and experiment with scripting around Bard-style prompts without relying on a formal, official API. Because Google doesn’t provide a standard public API for Bard, this project works by reverse-engineering the web interactions that power Bard’s interface and exposing them through code-friendly interfaces, enabling chat automation, custom workflows, and bot creation. The repository typically includes authentication handling, session management, and request/response serialization so that developers don’t have to deal with low-level HTTP details. Users can integrate Bard into Python scripts, chatbots, or local testing environments where conversational AI is useful but an official API isn’t yet available. -
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simpleaichat
Python package for easily interfacing with chat apps
simpleaichat is a Python library that streamlines building conversational apps with large language models by offering a minimal, developer-friendly interface. It aims to abstract the boilerplate of prompt management, message history, and streaming while leaving core Python control in your hands. The package emphasizes simplicity over heavy frameworks, making it ideal for scripts, notebooks, and small services that need LLMs without architectural lock-in. It supports structured responses and validation patterns so your app can reliably parse model outputs instead of wrestling with brittle free-text parsing. ... -
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ChatGPT-to-API
Scalable unofficial ChatGPT API for production
ChatGPT-to-API is an open-source project that exposes an interface intended to wrap ChatGPT interactions in an API-like experience, so that tools and services built around traditional API calls can work with ChatGPT even though no official programmatic API is provided in the same way. It functions as a translation layer, converting standardized API requests into ChatGPT-compatible prompts and then converting responses back into machine-friendly JSON objects that resemble API outputs. ... -
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PromptAppGPT
A rapid prompt app development framework based on GPT
...PromptAppGPT contains features such as low-code prompt-based development, GPT text generation, DALLE image generation, online prompt editer+compiler+runer, automatic user interface generation, support for plug-in extensions, etc. PromptAppGPT aims to enable natural language app development based on GPT. -
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wukong-robot
Chinese voice dialogue robot/smart speaker project
wukong-robot is a Chinese voice assistant / smart speaker project built to let makers and hackers design highly customizable voice-controlled devices. It combines wake-word detection, automatic speech recognition, natural language understanding, and text-to-speech into a single framework aimed at the Chinese-speaking ecosystem. The project is positioned as a simple, flexible, and elegant platform that can run on devices like Raspberry Pi and other Linux-based boards, making it suitable for... -
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Anse
Supercharged experience for multiple models such as ChatGPT
Anse is a modern, polished web UI built to serve as a unified interface for interacting with multiple AI-model backends (such as OpenAI’s models, DALL-E, Stable Diffusion, etc.). It emphasizes a clean, user-friendly experience and supports different conversation modes (single prompt, continuous dialogue, image generation, etc.). Anse uses client-side storage (IndexDB) to keep session history locally, prioritizing user privacy and avoiding automatic uploads of sensitive chat content. ... -
13
Audio Webui
A webui for different audio related Neural Networks
Audio Webui is a Gradio-based web user interface that unifies a wide range of audio-related neural networks under a single, accessible front end. It is designed as an “all-in-one” environment where users can experiment with text-to-speech, voice cloning, generative music, and other neural audio models without writing boilerplate code. The project supports multiple back-end models and toolchains (such as Bark, RVC, AudioLDM, Audiocraft, and other text-to-audio or voice-cloning tools), exposing them through a consistent UI for inference and experimentation. ... -
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Coframe
Coframe brings your UX to life with AI-powered optimization
...With Coframe, your website or app works for you 24/7, not the other way around. All it takes to get up and running is a few lines of code. Coframe gives you full control and visibility. Our mission is to give every digital interface its own sense of intelligence. -
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AI-Prompt-Generator
AI Prompt Generator: Fuel Your Creativity with AI-Powered Prompts
The AI Prompt Generator is your creative companion, harnessing the power of artificial intelligence to inspire, prompt, and ignite your writing journey. In a world where writer's block can be a formidable obstacle, this web-based tool offers an oasis of innovation, designed to boost your creativity and streamline your brainstorming process. -
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ParlAI
A framework for training and evaluating AI models
ParlAI is a comprehensive research platform for building, training, and evaluating dialogue agents across a wide variety of tasks and datasets. It provides a unified interface—agents, teachers, and worlds—so the same model can be trained on multi-turn chit-chat, question answering, task-oriented dialogue, retrieval, or safety-focused datasets without changing core code. The library integrates tightly with PyTorch and supports both generative and retrieval-augmented models, along with utilities for multitask training and model selection. ... -
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aqueduct LLM
Aqueduct allows you to run LLM and ML workloads on any infrastructure
...You can connect Aqueduct to your existing cloud infrastructure (docs), and Aqueduct will seamlessly move your code from your laptop to the cloud or between different cloud infrastructure layers. Aqueduct provides a single interface to running machine learning tasks on your existing cloud infrastructure — Kubernetes, Spark, Lambda, etc. From the same Python API, you can run code across any or all of these systems seamlessly and gain visibility into how your code is performing. -
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Node ChatGPT API
A client implementation for ChatGPT and Bing AI
A client implementation for ChatGPT and Bing AI. Available as a Node.js module, REST API server, and CLI app. Support for the official ChatGPT model has been added! You can now use the gpt-3.5-turbo model with the official OpenAI API, using ChatGPTClient. This is the same model that ChatGPT uses, and it's the most powerful model available right now. Usage of this model is not free, however it is 10x cheaper than text-davinci-003. The default model used in ChatGPTClient is now gpt-3.5-turbo.... -
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ChatLLM Web
Chat with LLM like Vicuna totally in your browser with WebGPU
Chat with LLM like Vicuna totally in your browser with WebGPU, safely, privately, and with no server. Powered By web-llm. To use this app, you need a browser that supports WebGPU, such as Chrome 113 or Chrome Canary. Chrome versions ≤ 112 are not supported. You will need a GPU with about 6.4GB of memory. If your GPU has less memory, the app will still run, but the response time will be slower. The first time you use the app, you will need to download the model. For the Vicuna-7b model that... -
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AI-Agent-Host
The AI Agent Host is a module-based development environment.
...The AI Agent Host is a module-based environment designed to facilitate rapid experimentation and testing. It includes a docker-compose configuration with QuestDB, Grafana, Code-Server and Nginx. The AI Agent Host provides a seamless interface for managing and querying data, visualizing results, and coding in real-time. The AI Agent Host is built specifically for LangChain, a framework dedicated to developing applications powered by language models. LangChain recognizes that the most powerful and distinctive applications go beyond simply utilizing a language model and strive to be data-aware and agentic. ... -
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llm
An ecosystem of Rust libraries for working with large language models
...The primary entry point for developers is the llm crate, which wraps the llm-base and the supported model crates. Documentation for the released version is available on Docs.rs. For end-users, there is a CLI application, llm-cli, which provides a convenient interface for interacting with supported models. Text generation can be done as a one-off based on a prompt, or interactively, through REPL or chat modes. The CLI can also be used to serialize (print) decoded models, quantize GGML files, or compute the perplexity of a model. It can be downloaded from the latest GitHub release or by installing it from crates.io. -
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ChatGPT Advanced
Browser extension adding web search results to ChatGPT prompts easily
...It also includes tools for creating and managing reusable prompt templates, making it easier for users to automate common tasks or structure prompts for consistent results. Additional interface elements are integrated directly into the ChatGPT page. -
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Cheetah
AI macOS app for real-time coding interview coaching assistance
Cheetah is an AI-powered macOS application designed to assist users during software engineering interview practice through real-time coaching capabilities. It integrates audio transcription and AI-generated responses to help users navigate technical interview questions as they happen. Cheetah uses a local speech-to-text engine based on Whisper to capture and transcribe conversations in real time, enabling it to understand interviewer prompts. It then leverages language models to generate... -
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Clarity AI
A Perplexity clone
Clarity AI is an AI-powered “search + chat” tool (similar in spirit to a simplified “AI-powered search engine / assistant”) created by Mckay Wrigley — intended to let users ask questions, get answers, and explore information via conversational interface rather than traditional search. The codebase (TypeScript) leverages LLMs / embeddings to process user queries, retrieve relevant data or context, and respond conversationally; this makes it useful as a personal knowledge assistant, research helper, or Q&A front end over arbitrary datasets or web-available info. Because Clarity AI is open-source, developers can adapt the backend or retrieval logic, integrate their own data sources (databases, documents, APIs), and build custom assistants or knowledge bots tailored to their needs. ... -
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Bot on Anything
Large model-based chatbot builder that can quickly integrate AI models
Bot on Anything is a versatile open-source AI chatbot builder that lets developers connect large language models such as ChatGPT, Claude, and Gemini to virtually any messaging platform, website, or interface with minimal configuration. At its heart, the project abstracts away the glue logic between AI model APIs and disparate application “channels,” enabling the same bot logic to run in Slack, Telegram, Gmail, enterprise tools, web UIs, or command-line terminals. Configuration is handled simply through a central JSON file where you define which model and which application channel you want to glue together, so developers can create sophisticated AI assistants without rewriting integration code from scratch. ...
