Search Results for "php support system"
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Showing 15 open source projects for "php support system"
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PHP Telegram Bot
PHP Telegram Bot based on the official Telegram Bot API
A Telegram Bot based on the official Telegram Bot API. Telegram announced official support for a Bot API, allowing integrators of all sorts to bring automated interactions to the mobile platform. This Bot aims to provide a platform where one can simply write a bot and have interactions in a matter of minutes. This is a pure PHP Telegram Bot, fully extensible via plugins. -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples.... -
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freenom
Freenom domain name renews automatically
Freenom domain name automatic renewal. -
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Folo
Folo is the AI Reader
...It incorporates AI features that summarize timelines, label entries, and adapt recommendations over time so the reading experience becomes more personalized. Folo is built as a modern cross-platform application with support for desktop, mobile, and web environments, positioning it as a next-generation alternative to traditional feed readers. The system also emphasizes user control through features like Bring Your Own Key support for AI providers and customizable feed management. Overall, Folo functions as an intelligent reading hub that blends classic RSS aggregation with adaptive AI filtering and summarization. -
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5
ChatGPT-Telegram-Workers
Deploy your own Telegram ChatGPT bot on Cloudflare Workers with ease
The simplest and fastest way to deploy your own ChatGPT Telegram bot. Use Cloudflare Workers, single file, copy and paste directly, no dependencies required, no need to configure local development environment, no domain name required, serverless. You can customize the system initialization information so that your debugged personality never disappears. -
6
Reins
Ollama client that simplifies experimenting with LLMs
Reins is a privacy-first, multi-platform AI client designed to simplify and enhance interaction with Ollama-based language models. It provides a highly customizable chat interface where users can configure system prompts, switch models dynamically, and adjust inference parameters such as temperature, token limits, and context size on a per-conversation basis. The application is built to run across platforms including mobile and desktop environments, making it accessible for a wide range of... -
7
Omi
AI that sees your screen and listens to conversations
The Omi project is an open-source AI wearable ecosystem developed by Based Hardware that combines hardware, software, and cloud infrastructure to create a persistent “second brain” for capturing and processing real-world interactions. It is designed as a system that continuously listens to conversations and monitors screen activity, converting this input into structured data such as transcripts, summaries, and actionable insights in real time. The platform operates across multiple... -
8
agency-agents-zh
193 plug-and-play AI expert roles
agency-agents-zh is a framework focused on building and coordinating multiple AI agents, likely with a particular emphasis on Chinese-language environments or documentation. The project appears to explore the concept of agent collaboration, where different agents handle specialized tasks and communicate to achieve broader objectives. It is designed to simulate organizational workflows, enabling complex problem-solving through distributed intelligence rather than a single monolithic model.... -
9
LLMFarm
llama and other large language models on iOS and MacOS offline
LLMFarm is a framework designed to simplify the deployment, management, and utilization of large language models in local or self-hosted environments, focusing on accessibility and efficient resource usage. It enables users to run LLMs on personal hardware or private infrastructure, reducing dependency on external APIs and improving data privacy. The system typically provides a user-friendly interface for loading models, configuring inference parameters, and interacting with them through... -
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10
nndeploy
An Easy-to-Use and High-Performance AI Deployment Framework
nndeploy is an open-source framework designed to simplify the deployment of artificial intelligence models across multiple hardware platforms and devices. The framework focuses on making it easier to transform trained AI models into production-ready applications that can run efficiently on desktops, mobile devices, servers, and edge computing hardware. Developers can use visual workflows to design and configure AI processing pipelines by connecting modular nodes that represent different... -
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Cactus
Low-latency AI inference engine optimized for mobile devices
Cactus is a low-latency, energy-efficient AI inference framework designed specifically for mobile devices and wearables, enabling advanced machine learning capabilities directly on-device. It provides a full-stack architecture composed of an inference engine, a computation graph system, and highly optimized hardware kernels tailored for ARM-based processors. Cactus emphasizes efficient memory usage through techniques such as zero-copy computation graphs and quantized model formats, allowing... -
12
Cake
Distributed LLM and StableDiffusion inference
Cake is a compact, powerful toolkit that combines a flexible TCP/UDP proxy, port forwarding system, and connection manager designed for both development and penetration testing scenarios. It enables users to create complex networking flows where traffic can be proxied, relayed, and manipulated between endpoints — useful for debugging networked applications, inspecting protocols, or tunneling traffic through different hops. The tool is designed to work with multiple protocols and supports... -
13
tgState
Using Telegram as a stored file chain system
A file chain system with Telegram as a storage. No limit to file size and format. It can be used as a telegram drawing bed or as a telegram net. Support web upload files and telegram upload directly. -
14
X-UI
Lightweight Xray panel with multi-protocol and multi-user
The xray panel supports single-end multi-user and multi-protocol. Monitor and manage your agency services conveniently and quickly through free Telegram bot. -
15
FastoCloud PRO
IPTV/NVR/CCTV/Video cloud https://fastocloud.com
IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch ...
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