DET Practice is an all-in-one Duolingo English Test preparation platform and a gold-level official partner. It provides over 18,000 practice questions, official-standard mock exams with adaptive formats, and AI-driven scoring and correction for speaking and writing sections to help candidates improve scores efficiently.

AutoDRIVE Cooperative MARL is a GitHub-hosted framework combining the AutoDRIVE urban driving simulator with adaptable multi-agent reinforcement learning algorithms. It includes training scripts, environment wrappers, evaluation metrics, and visualization tools to develop and benchmark cooperative driving policies. Users can configure agent observation spaces, reward functions, and training hyperparameters. The repository supports modular extensions, enabling custom task definitions, curriculum learning, and performance tracking for autonomous vehicle coordination research.

This repository provides a hands-on demonstration of two-way communication between agents built on the JADE framework. It includes example Java classes showing agent setup, FIPA-ACL compliant message creation, and asynchronous behavior handling. Developers can study Agent A sending a REQUEST, Agent B processing the request, and returning an INFORM message. The code illustrates registering agents with the Directory Facilitator, using cyclic and one-shot behaviors, applying message templates to filter messages, and logging conversation sequences. It’s an ideal starting point for prototyping multi-agent exchanges, custom protocols, or integrating JADE agents into larger distributed AI systems.

AutoGen Hands-On provides a structured environment to learn AutoGen framework usage through practical Python examples. It guides users on cloning the repository, installing dependencies, and configuring API keys to deploy multi-agent setups. Each script demonstrates key features such as defining agent roles, session memory, message routing, and task orchestration patterns. The code includes logging, error handling, and extensible hooks that allow customization of agents’ behavior and integration with external services. Users gain hands-on experience in building collaborative AI workflows where multiple agents interact to complete complex tasks, from customer support chatbots to automated data processing pipelines. The tutorial fosters best practices in multi-agent coordination and scalable AI development.

AutoDRIVE Cooperative MARL is an open-source framework designed to train and deploy cooperative multi-agent reinforcement learning (MARL) policies for autonomous driving tasks. It integrates with realistic simulators to model traffic scenarios like intersections, highway platooning, and merging. The framework implements centralized training with decentralized execution, enabling vehicles to learn shared policies that maximize overall traffic efficiency and safety. Users can configure environment parameters, choose from baseline MARL algorithms, visualize training progress, and benchmark agent coordination performance.

Agents Course by Justinvarghese511 is a structured learning program that equips developers with the skills to architect, implement, and deploy AI agents. Through step-by-step tutorials, participants learn to design agent decision flows, integrate external APIs, and manage context and memory. The course includes hands-on code examples, Jupyter notebooks, and practical exercises for building agents that automate data extraction, respond conversationally, and perform multi-step tasks. By the end, learners will have a portfolio of working AI agent projects and best practices for production deployment.

Multi-Agent Reinforcement Learning by alaamoheb is a comprehensive open-source library designed to facilitate the development, training, and evaluation of multiple agents acting in shared environments. It includes modular implementations of value-based and policy-based algorithms such as DQN, PPO, MADDPG, and more. The repository supports integration with OpenAI Gym, Unity ML-Agents, and the StarCraft Multi-Agent Challenge, allowing users to experiment in both research and real-world inspired scenarios. With configurable YAML-based experiment setups, logging utilities, and visualization tools, practitioners can monitor learning curves, tune hyperparameters, and compare different algorithms. This framework accelerates experimentation in cooperative, competitive, and mixed multi-agent tasks, streamlining reproducible research and benchmarking.

2 Weeks AI provides an easy-to-follow syllabus comprising 14 daily interactive lessons aimed at teaching beginners how to effectively use AI tools like ChatGPT. Starting with basics like app downloading, each day's lesson progresses in complexity, incorporating creative, practical applications. Designed by Buzz Usborne, this non-technical course makes learning AI enjoyable and grounded in real-world use cases. It ultimately helps users understand how to integrate AI into their daily lives seamlessly.

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SCA Prep is the ultimate preparation tool for those facing the Simulated Consultation Assessment (SCA) exam from the Royal College of General Practitioners (RCGP). Tailored for ST3 GP trainees, it offers features like unlimited diagnostic case simulations, real-time feedback through advanced AI, and a comprehensive curriculum to ensure complete coverage of critical topics. The platform simplifies your preparation process, allowing you to focus on essentials while building confidence through practical and relevant scenarios. Whether you are reviewing exam content or honing your clinical skills, SCA Prep is an indispensable resource.

千里聆·招才易 is designed to enhance talent acquisition through intelligent automation. It allows users to publish job positions, scrape resumes, and engage potential candidates seamlessly across various recruitment platforms like BOSS Zhipin. With its advanced robotic process automation capabilities, this tool significantly improves efficiency in managing recruitment tasks, making it a vital resource for HR departments and recruiters aiming to optimize their hiring workflows.

数智校对 is a sophisticated tool designed for semantic analysis. It efficiently identifies grammar errors, politically sensitive keywords, and restricted language within text. The tool not only detects these errors but also suggests corrections, helping users to improve the overall quality of their content. Ideal for various writing projects, it provides a seamless experience in refining textual output, making communication clearer and more effective.

TheorieStudio is a freemium platform focusing on successful first-time theory driving test clearance. It provides a structured course with 30 chapters, including concise lessons with plain language explanations and accompanying images. To ensure thorough learning, the platform offers quizzes and practice exams that replicate the real test environment. This approach not only aids in knowledge retention but also builds confidence in users to excel in their driving theory exams.

SpeakFit.club is an AI-driven language learning application focused on improving users' speaking skills. Utilizing the power of artificial intelligence, SpeakFit.club offers personalized speaking practice sessions aimed at overcoming the 'intermediate plateau' and sounding more convincing, especially for career goals. It supports multiple languages, providing easily accessible and effective learning experiences for people looking to enhance their speaking capabilities.

LearnPrompting is an eLearning platform specializing in AI prompting and generative AI. It offers an extensive library of over 60 content modules, interactive videos, hands-on projects, and real-world case studies. Designed for professionals, educators, and AI enthusiasts, the platform aims to upskill and reskill individuals to master the art of AI communication. Whether you're new to AI or looking to sharpen your skills, LearnPrompting provides the resources and support to help you effectively harness the power of AI and stay competitive in the tech-driven landscape.

Qingmuyili’s Focus Group Simulator uses tailored Large Language Models (LLMs) alongside quantitative marketing analysis, integrating them with top industry frameworks to derive deep market insights. This highly advanced tool identifies your most promising market segments, offering a cutting-edge approach to market research that transcends conventional automated tools.

PracticeInterview.ai is a comprehensive interview preparation tool that enables job seekers to practice their responses to real-world interview questions tailored to specific roles and industries. The platform employs AI technology to provide instant feedback, allowing users to refine their answers and improve their interviewing techniques. With a user-friendly interface and personalized question sets, PracticeInterview.ai empowers candidates to build confidence and enhance their performance before facing potential employers.

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Formation IA is a cutting-edge platform aimed at teaching users how to effectively utilize ChatGPT and other AI tools. It offers comprehensive training modules designed to equip users with the skills needed to automate repetitive tasks, understand AI-powered tools, and boost overall productivity. The platform is tailored to different experience levels and ensures that users can harness AI technology to its fullest potential, both for personal development and professional use.

التحضير is a valuable Chrome extension specifically designed for teachers using the Madrasati educational platform. It assists educators in preparing lesson plans and creating a bank of questions for midterm and final exams. With its user-friendly interface, teachers can easily generate lesson content, manage assessments, and enhance overall classroom productivity. The tool not only simplifies lesson preparation but also ensures alignment with educational standards and requirements, making it an essential resource for modern educators.