Best AI tools for< Port Authority Employee >

DMSLOG.Ai is an AI tool designed for Smart Port terminal optimization, decongestion, and decarbonation. It offers solutions powered by AI, machine learning, and digital twins to transform container terminals into Smart Ports, providing quick ROI, decongestion, and decarbonation. The tool is used globally on a daily basis, offering plug-and-play AI solutions for various terminal operations and carbon footprint monitoring.

mjslackbot.com is a website that provides resources and information related to mjslackbot. Users can find valuable content and details about mjslackbot on this platform. The website aims to offer a comprehensive source of information for individuals interested in mjslackbot and its functionalities.

Vicarious Surgical is a company that develops robotic surgical systems. Their system is designed to be minimally invasive, with a focus on abdominal access and visualization through a single port. The system is also designed to be mobile and nimble, with a patient cart that connects with the patient and a surgeon console where the surgeon sits to drive the robotic instruments and enhanced 3D high-definition camera inside the patient.

HolmesGPT is an open-source DevOps assistant powered by OpenAI or any tool-calling LLM of your choice. It helps in troubleshooting Kubernetes, incident response, ticket management, automated investigation, and runbook automation in plain English. The tool connects to existing observability data, is compliance-friendly, provides transparent results, supports extensible data sources, runbook automation, and integrates with existing workflows. Users can install HolmesGPT using Brew, prebuilt Docker container, Python Poetry, or Docker. The tool requires an API key for functioning and supports OpenAI, Azure AI, and self-hosted LLMs.

CISO Assistant is a tool that helps organizations manage their cybersecurity posture and compliance. It provides a centralized platform for managing security controls, threats, and risks. CISO Assistant also includes a library of pre-built frameworks and tools to help organizations quickly and easily implement best practices.

AutoAudit is an open-source large language model specifically designed for the field of network security. It aims to provide powerful natural language processing capabilities for security auditing and network defense, including analyzing malicious code, detecting network attacks, and predicting security vulnerabilities. By coupling AutoAudit with ClamAV, a security scanning platform has been created for practical security audit applications. The tool is intended to assist security professionals with accurate and fast analysis and predictions to combat evolving network threats.

aiode is a Discord bot that plays Spotify tracks and YouTube videos or any URL including Soundcloud links and Twitch streams. It allows users to create cross-platform playlists, customize player commands, create custom command presets, adjust properties for deeper customization, sign in to Spotify to play personal playlists, manage access permissions for commands, customize bot summoning methods, and execute advanced admin commands. The bot also features a scripting sandbox for running and storing custom groovy scripts and modifying command behavior through interceptors.

Prompt Panel is a tool designed to accelerate the adoption of AI agents by providing a platform where users can run large language models across any inference provider, create custom agent plugins, and use their own data safely. The tool allows users to break free from walled-gardens and have full control over their models, conversations, and logic. With Prompt Panel, users can pair their data with any language model, online or offline, and customize the system to meet their unique business needs without any restrictions.

This repository is a refactored and updated version of `stable-audio-tools`, an open-source code for audio/music generative models originally by Stability AI. It contains refactored codes for improved readability and usability, useful scripts for evaluating and playing with trained models, and instructions on how to train models such as `Stable Audio 2.0`. The repository does not contain any pretrained checkpoints. Requirements include PyTorch 2.0 or later for Flash Attention support and Python 3.8.10 or later for development. The repository provides guidance on installing, building a training environment using Docker or Singularity, logging with Weights & Biases, training configurations, and stages for VAE-GAN and Diffusion Transformer (DiT) training.

llama.cpp is a C++ implementation of LLaMA, a large language model from Meta. It provides a command-line interface for inference and can be used for a variety of tasks, including text generation, translation, and question answering. llama.cpp is highly optimized for performance and can be run on a variety of hardware, including CPUs, GPUs, and TPUs.

One API 是一个开源项目，它通过标准的 OpenAI API 格式访问所有的大模型，开箱即用。它支持多种大模型，包括 OpenAI ChatGPT 系列模型、Anthropic Claude 系列模型、Google PaLM2/Gemini 系列模型、Mistral 系列模型、百度文心一言系列模型、阿里通义千问系列模型、讯飞星火认知大模型、智谱 ChatGLM 系列模型、360 智脑、腾讯混元大模型、Moonshot AI、百川大模型、MINIMAX、Groq、Ollama、零一万物、阶跃星辰。One API 还支持配置镜像以及众多第三方代理服务，支持通过负载均衡的方式访问多个渠道，支持 stream 模式，支持多机部署，支持令牌管理，支持兑换码管理，支持渠道管理，支持用户分组以及渠道分组，支持渠道设置模型列表，支持查看额度明细，支持用户邀请奖励，支持以美元为单位显示额度，支持发布公告，设置充值链接，设置新用户初始额度，支持模型映射，支持失败自动重试，支持绘图接口，支持 Cloudflare AI Gateway，支持丰富的自定义设置，支持通过系统访问令牌调用管理 API，进而**在无需二开的情况下扩展和自定义** One API 的功能，支持 Cloudflare Turnstile 用户校验，支持用户管理，支持多种用户登录注册方式，支持主题切换，配合 Message Pusher 可将报警信息推送到多种 App 上。

The Apache Airflow Python Client provides a range of REST API endpoints for managing Airflow metadata objects. It supports CRUD operations for resources, with endpoints accepting and returning JSON. Users can create, read, update, and delete resources. The API design follows conventions with consistent naming and field formats. Update mask is available for patch endpoints to specify fields for update. API versioning is not synchronized with Airflow releases, and changes go through a deprecation phase. The tool supports various authentication methods and error responses follow RFC 7807 format.

Midjourney Proxy is an open-source project that acts as a proxy for the Midjourney Discord channel, allowing API-based AI drawing calls for charitable purposes. It provides drawing API for free use, ensuring full functionality, security, and minimal memory usage. The project supports various commands and actions related to Imagine, Blend, Describe, and more. It also offers real-time progress tracking, Chinese prompt translation, sensitive word pre-detection, user-token connection via wss for error information retrieval, and various account configuration options. Additionally, it includes features like image zooming, seed value retrieval, account-specific speed mode settings, multiple account configurations, and more. The project aims to support mainstream drawing clients and API calls, with features like task hierarchy, Remix mode, image saving, and CDN acceleration, among others.

ChatGPT-Next-Web-Pro is a tool that provides an enhanced version of ChatGPT-Next-Web with additional features and functionalities. It offers complete ChatGPT-Next-Web functionality, file uploading and storage capabilities, drawing and video support, multi-modal support, reverse model support, knowledge base integration, translation, customizations, and more. The tool can be deployed with or without a backend, allowing users to interact with AI models, manage accounts, create models, manage API keys, handle orders, manage memberships, and more. It supports various cloud services like Aliyun OSS, Tencent COS, and Minio for file storage, and integrates with external APIs like Azure, Google Gemini Pro, and Luma. The tool also provides options for customizing website titles, subtitles, icons, and plugin buttons, and offers features like voice input, file uploading, real-time token count display, and more.

DotRecast is a C# port of Recast & Detour, a navigation library used in many AAA and indie games and engines. It provides automatic navmesh generation, fast turnaround times, detailed customization options, and is dependency-free. Recast Navigation is divided into multiple modules, each contained in its own folder: - DotRecast.Core: Core utils - DotRecast.Recast: Navmesh generation - DotRecast.Detour: Runtime loading of navmesh data, pathfinding, navmesh queries - DotRecast.Detour.TileCache: Navmesh streaming. Useful for large levels and open-world games - DotRecast.Detour.Crowd: Agent movement, collision avoidance, and crowd simulation - DotRecast.Detour.Dynamic: Robust support for dynamic nav meshes combining pre-built voxels with dynamic objects which can be freely added and removed - DotRecast.Detour.Extras: Simple tool to import navmeshes created with A* Pathfinding Project - DotRecast.Recast.Toolset: All modules - DotRecast.Recast.Demo: Standalone, comprehensive demo app showcasing all aspects of Recast & Detour's functionality - Tests: Unit tests Recast constructs a navmesh through a multi-step mesh rasterization process: 1. First Recast rasterizes the input triangle meshes into voxels. 2. Voxels in areas where agents would not be able to move are filtered and removed. 3. The walkable areas described by the voxel grid are then divided into sets of polygonal regions. 4. The navigation polygons are generated by re-triangulating the generated polygonal regions into a navmesh. You can use Recast to build a single navmesh, or a tiled navmesh. Single meshes are suitable for many simple, static cases and are easy to work with. Tiled navmeshes are more complex to work with but better support larger, more dynamic environments. Tiled meshes enable advanced Detour features like re-baking, hierarchical path-planning, and navmesh data-streaming.

This project is a port of Andrej Karpathy's llm.c to Mojo, currently in beta. It is under active development and subject to changes. Users should expect to encounter bugs and unfinished features.

rwkv.cpp is a port of BlinkDL/RWKV-LM to ggerganov/ggml, supporting FP32, FP16, and quantized INT4, INT5, and INT8 inference. It focuses on CPU but also supports cuBLAS. The project provides a C library rwkv.h and a Python wrapper. RWKV is a large language model architecture with models like RWKV v5 and v6. It requires only state from the previous step for calculations, making it CPU-friendly on large context lengths. Users are advised to test all available formats for perplexity and latency on a representative dataset before serious use.

LangChain.dart is a Dart port of the popular LangChain Python framework created by Harrison Chase. LangChain provides a set of ready-to-use components for working with language models and a standard interface for chaining them together to formulate more advanced use cases (e.g. chatbots, Q&A with RAG, agents, summarization, extraction, etc.). The components can be grouped into a few core modules: * **Model I/O:** LangChain offers a unified API for interacting with various LLM providers (e.g. OpenAI, Google, Mistral, Ollama, etc.), allowing developers to switch between them with ease. Additionally, it provides tools for managing model inputs (prompt templates and example selectors) and parsing the resulting model outputs (output parsers). * **Retrieval:** assists in loading user data (via document loaders), transforming it (with text splitters), extracting its meaning (using embedding models), storing (in vector stores) and retrieving it (through retrievers) so that it can be used to ground the model's responses (i.e. Retrieval-Augmented Generation or RAG). * **Agents:** "bots" that leverage LLMs to make informed decisions about which available tools (such as web search, calculators, database lookup, etc.) to use to accomplish the designated task. The different components can be composed together using the LangChain Expression Language (LCEL).

MFLUX is a line-by-line port of the FLUX implementation in the Huggingface Diffusers library to Apple MLX. It aims to run powerful FLUX models from Black Forest Labs locally on Mac machines. The codebase is minimal and explicit, prioritizing readability over generality and performance. Models are implemented from scratch in MLX, with tokenizers from the Huggingface Transformers library. Dependencies include Numpy and Pillow for image post-processing. Installation can be done using `uv tool` or classic virtual environment setup. Command-line arguments allow for image generation with specified models, prompts, and optional parameters. Quantization options for speed and memory reduction are available. LoRA adapters can be loaded for fine-tuning image generation. Controlnet support provides more control over image generation with reference images. Current limitations include generating images one by one, lack of support for negative prompts, and some LoRA adapters not working.

AIRAVAT is a multifunctional Android Remote Access Tool (RAT) with a GUI-based Web Panel that does not require port forwarding. It allows users to access various features on the victim's device, such as reading files, downloading media, retrieving system information, managing applications, SMS, call logs, contacts, notifications, keylogging, admin permissions, phishing, audio recording, music playback, device control (vibration, torch light, wallpaper), executing shell commands, clipboard text retrieval, URL launching, and background operation. The tool requires a Firebase account and tools like ApkEasy Tool or ApkTool M for building. Users can set up Firebase, host the web panel, modify Instagram.apk for RAT functionality, and connect the victim's device to the web panel. The tool is intended for educational purposes only, and users are solely responsible for its use.

aiohttp_debugtoolbar provides a debug toolbar for aiohttp web applications. It is a port of pyramid_debugtoolbar and offers basic functionality such as basic panels, intercepting redirects, pretty printing exceptions, an interactive python console, and showing source code. The library is still in early development stages and offers various debug panels for monitoring different aspects of the web application. It is a useful tool for developers working with aiohttp to debug and optimize their applications.

aioimaplib is a Python library inspired by imaplib and imaplib2, aiming to port imaplib with asyncio for asynchronous benefits. It provides functionalities to interact with IMAP servers using asyncio, including checking mailbox, waiting for new messages, handling IDLE command, threading, IMAP command concurrency, logging configuration, and authentication with OAuth2. The library is tested with various IMAP servers like dovecot, Gmail, Outlook, Yahoo, etc. Developers are encouraged to contribute by improving, bug fixing, testing with other IMAP servers, and providing feedback. The library supports most IMAP4rev1 commands from RFC3501 and plans to implement additional commands like 'STARTTLS', 'AUTHENTICATE', 'COMPRESS', 'SETACL', 'DELETEACL', 'GETACL', 'MYRIGHTS', 'LISTRIGHTS', 'GETQUOTA', 'GETQUOTAROOT', 'SETQUOTA', 'SORT', 'THREAD', 'ID', 'NAMESPACE', 'CATENATE', and tests with other servers.

Expert in COLREGs for seafarers, offering practical guidance and insights.

Japanese travel guide with a focus on hidden gems and port towns

Nautical and informative expert on harbors, their functions, and significance in trade.

Virtual AI assistant for marine industry professionals.

Ce chat bot est conçu pour enseigner la navigation maritime en demandant d'abord le sujet et le niveau.

Virtual Router Assistant 24/7