Projects sharing features with Mcp Server Perplexity

Query OpenAI models directly from Claude using MCP protocol.

MCP Server for using any LLM as a Tool

The Creatify MCP Server is a comprehensive Model Context Protocol (MCP) server that exposes the full power of Creatify AI's video generation platform to AI assistants, chatbots, and automation tools. Built on top of the robust @tsavo/creatify-api-ts TypeScript client library, this server…

Agentset MCP Server - Build RAG with Agentic superpowers

A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

nlp.js is a JavaScript natural language processing library and development framework used to build natural language understanding engines. It provides a toolkit for creating local machine learning models for intent classification and acts as a multilingual text processor that detects languages and normalizes text across various dialects. The framework distinguishes itself by supporting local execution on both servers and mobile devices, enabling chatbot functionality without an internet connection. It features a specialized system for conversational slot filling to collect mandatory informati

PageLM is a community driven version of NotebookLM & a education platform that transforms study materials into interactive resources like quizzes, flashcards, notes, and podcasts.

warp-ctc is a high-performance library for calculating connectionist temporal classification loss to train sequence-to-sequence deep learning models. It provides a numerical stability layer using log-space computation to prevent underflow and precision errors during probability calculations for long sequences. The library utilizes hardware-accelerated kernels to compute loss in parallel across CPU and GPU architectures. It focuses on increasing training throughput by optimizing the dynamic programming steps of the CTC algorithm. These capabilities support the training of models for speech re

A lightweight C library for artificial neural networks

2. Apply sample/measurement 3. Query model for inference of non-directly observed variables 4. Query model for decisions based on maximum payoff/lowes loss

Bringing Magic To Your Mobile App With Deep Learning - Teaching Your App To Detect Traffic Lights From 18,000 Images Is The First Step In Building Your Own Self Driving Car

Budibase is a low-code application platform and enterprise internal tool builder used to create custom business applications for organizational processes and reporting. It functions as a self-hosted backend as a service, providing the infrastructure to manage database integrations and expose public data interfaces for external application access. The platform includes an AI agent orchestrator for deploying autonomous agents that interact with business data and execute operational tasks. It differentiates itself through self-hosted infrastructure management, allowing the system to run on priva

Deer-flow is an autonomous agent orchestration platform designed to manage multi-step workflows where AI agents reason, plan, and execute tasks. It functions as a development framework for building agents that utilize various large language models to solve complex problems through structured, sequential, and parallel reasoning. The platform distinguishes itself through a secure, sandboxed execution engine that isolates generated code and system operations from the host environment. This architecture allows agents to safely test and validate solutions within ephemeral containers, ensuring that

OpenSandbox is a secure sandbox runtime and containerized code execution engine designed to run AI-generated code and scripts in isolated environments. It serves as a workload orchestrator that prevents host system contamination by utilizing kernel-level isolation to execute arbitrary commands and scripts. The project distinguishes itself by providing a model context server that bridges large language models to the sandbox for performing file operations and system commands. It also includes a remote GUI sandbox that supports browser automation and desktop interfaces via remote access protocol

On-line Machine Learning in Go (and so much more)

Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc. I am also working on another similar pure Go system, https://github.com/chrislusf/gleam , which is more flexible and more performant.

🚀 LLM inference Engine in Swift/Metal, Load GGUF and safe tensors modes, no conversion, no cpp, pure swift

Train and run transformers directly on Apple's Neural Engine in Swift bypass coreml entirely

LiteLLM is a unified gateway and proxy server designed to centralize access to over one hundred language model providers. It provides a standardized API interface that abstracts vendor-specific schemas, allowing developers to interact with diverse models through a single, consistent format. By acting as a central traffic management layer, it enables organizations to route, secure, and govern model interactions across multiple deployments. The platform distinguishes itself through its policy-driven architecture, which uses configuration-based routing to manage traffic distribution, load balanc

Moltworker is an AI agent sandbox and model orchestrator designed for the secure execution of untrusted code and shell commands generated by large language models. It functions as a gateway proxy that routes requests to multiple AI providers through a unified interface, integrating a container runtime backed by S3-compatible object storage to persist state across ephemeral lifecycles. The system distinguishes itself by combining an AI model orchestrator with a headless browser controller for automated web scraping and screenshot capture. It manages the full lifecycle of AI agents, including m

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies