Best AI tools for< Simulate Real Players >

Nunu.ai is an AI application focused on advancing Artificial General Intelligence (AGI) for games. The platform is dedicated to building multimodal gameplay agents that can test and play any game. These vision-based agents interact with games like humans, providing interpretable insights into their decision-making process. Nunu.ai introduces breakthrough capabilities in interactivity, reporting, and interpretability, specializing in Quality Assurance for gaming, particularly in open-world scenarios. The tool accelerates QA processes and extends to player simulation and other use cases.

HirewithEve is an AI-enhanced recruitment solution designed to simulate real-world interview scenarios with AI for enhanced candidate assessment. The platform offers cutting-edge AI-driven speech technology tailored for corporate environments, providing tailored recruitment solutions, enhanced candidate assessment, and industry-specific case studies for targeted skill evaluation. Users can access diverse business cases for interview and skill assessment, engage in interactive exercises promoting problem-solving and critical thinking, and receive candidate insights through an advanced analytics platform. HirewithEve focuses on empowering teams to make informed decisions and streamline the hiring process effectively.

Wilco is an AI-powered learning platform that offers personalized, immersive, and endless learning experiences for individuals, employees, customers, and candidates. It provides a comprehensive library of AI and technical training curriculum, adaptive learning technology, and a creator platform for generating hands-on labs. Wilco's AI engine tracks user progress and community data, offering a unique and engaging learning environment. The platform is trusted by leading products and offers quests in various programming languages, making learning fun and interactive.

The Max Planck Institute for Informatics focuses on Visual Computing and Artificial Intelligence, conducting research at the intersection of Computer Graphics, Computer Vision, and AI. The institute aims to develop innovative ways to capture, represent, synthesize, and simulate real-world models with high detail, robustness, and efficiency. By combining concepts from Computer Graphics, Computer Vision, and Machine Learning, the institute lays the groundwork for advanced methods to better perceive and interpret the complex real world. The research conducted here is essential for the development of future intelligent computing systems that interact with humans and the environment intuitively and safely.

Preps is an AI-powered mock interview simulation platform designed to help users prepare for technical interviews. It offers realistic interview scenarios that mimic real-world technical interviews conducted at top tech companies. Users can practice with AI interviewers in real-time, receive personalized feedback, and improve their interview skills. With Preps, users can simulate various interview scenarios, practice unexpected questions, and refine their answers to increase their chances of success in technical interviews.

Dream Machine AI is a free, instant-access video generation model that transforms text and images into high-quality videos using advanced transformer models. It leverages Luma AI to create stunning videos effortlessly, with features like incredibly fast generation, realistic and consistent motion, high character consistency, and natural camera movements. Users can access the platform for free and enjoy the benefits of quick video generation with physically accurate and emotionally resonant content.

Upsend is an AI-powered platform designed to help software engineering candidates prepare for technical interviews. It offers mock coding interviews with personalized feedback to enhance interview performance and increase job offer conversion rates. With industry-standard metrics and actionable insights, Upsend aims to simulate real interview scenarios and provide a comprehensive preparation experience for candidates.

SwitchLight Studio is an AI-powered lighting tool designed for filmmakers, offering advanced features such as AI Virtual Production, individual AI features like background removal and PBR material extraction, Physically Based Rendering, PBR Neural Enhancer, and Light Map Extraction. It revolutionizes post-production by allowing users to change lighting effects, simulate real-world lighting, and enhance realism in rendering. The tool supports 4K+ resolution videos, guarantees temporal consistency, and provides enterprise features like Nuke Plugin, Command Line Interface, and Multi-OS support. With a focus on privacy, SwitchLight ensures local processing of image and video data without cloud uploads.

Cipher is an AI tool designed to help users prepare for coding interviews. It offers AI assistance to enhance interview preparation by providing personalized guidance and feedback. With Cipher, users can practice coding problems, receive hints and solutions, and improve their problem-solving skills. The platform aims to simulate real interview scenarios to boost confidence and performance. By leveraging AI technology, Cipher adapts to users' learning pace and offers tailored recommendations to address their weaknesses effectively.

Interview Prep AI is a revolutionary application designed to serve as your personal job interview coach. It leverages cutting-edge artificial intelligence technology to simulate real job interviews, providing you with the opportunity to practice and enhance your skills in a stress-free environment. With features like CV upload, personalized feedback, and privacy protection, Interview Prep AI aims to help individuals prepare effectively for their upcoming job interviews.

Chatmate AI is a website that allows users to chat with artificial intelligent persons, or "mates". These mates are designed to simulate real human conversation, and they can even develop personal bonds with users over time. Chatmate AI is powered by OpenAI GPT-3, which gives the mates access to a vast amount of knowledge and allows them to understand and respond to user input in a natural way. The website is currently in limited beta, and usage is free for all users.

Gen AI Interviewer is an AI-powered tool designed to conduct interviews. It utilizes artificial intelligence to simulate real interview scenarios and evaluate candidates' responses. By leveraging advanced algorithms, it provides valuable insights to recruiters and hiring managers, helping them make informed decisions in the hiring process. With Gen AI Interviewer, users can streamline their interview process, save time, and improve the overall efficiency of candidate evaluation.

AI VC was an AI tool designed to provide virtual consultations to users. It allowed users to have virtual conversations with an AI-powered virtual consultant to seek advice or information on various topics. The tool aimed to simulate a real-life conversation experience and provide personalized recommendations based on user input. Users could interact with the virtual consultant through text or voice commands, making it a convenient and user-friendly platform for seeking guidance and support.

Hush Hush is an AI-powered NSFW chatbot application that allows users to engage in adult-themed conversations with virtual characters based on real-life personas. Users can choose from a variety of characters and interact with them in explicit and erotic chats. The application offers a one-time payment of $2.99, providing access to NSFW messages, pictures, and up to 1,200 messages. Hush Hush uses OpenAI GPT4 technology to generate high-quality erotic content for personalized interactions.

Simudyne is an enterprise simulation software powered by AI technology. It allows large financial institutions to simulate various future scenarios efficiently and measure their impact in a safe virtual environment. The software offers solutions for environment, social and governance issues, market execution, financial crime analytics, and risk management. Simudyne's technology is secure, distributable, and Cloudera certified, providing a robust library of code for specialized functions. The platform also utilizes agent-based modeling to bridge the gap between theoretical and real-world scenarios in the financial services sector.

Architechtures is a generative AI-powered building design platform that helps architects and real estate developers design optimal residential developments in minutes. The platform uses Generative AI technology to provide real-time solutions based on user-defined design criteria, allowing for rapid iterations and accurate insights. Architechtures facilitates a collaborative design process between users and Artificial Intelligence, enabling full control over quantitative aspects of the design and streamlined decision-making.

FluentPal is a language learning application that leverages AI technology to provide users with an immersive foreign language learning experience. The app offers a range of features such as role-playing scenarios, conversations with AI celebrities, custom conversation creation, suggested responses, translation support, error correction, and adjustable AI conversation levels. FluentPal aims to simulate a foreign language environment to enhance communication skills and pronunciation accuracy, making language learning accessible, cost-effective, and beginner-friendly.

Blackshark.ai is an AI-based platform that generates a real-time accurate semantic photorealistic 3D digital twin of the entire planet. The platform extracts insights about the planet's infrastructure from satellite and aerial imagery using machine learning at a global scale. It enriches missing attributes with AI to provide a photorealistic, geo-typical, or asset-specific digital twin, which can be used for visualization, simulation, mapping, mixed reality environments, and other enterprise solutions. The platform offers features such as Globe Data Input Sources, No Code Data Labeling, Geointelligence at Scale, 3D Semantic Map, and Synthetic Environments.

Rendered.ai is a platform that provides unlimited synthetic data for AI and ML applications, specifically focusing on computer vision. It helps in generating low-cost physically-accurate data to overcome bias and power innovation in AI and ML. The platform allows users to capture rare events and edge cases, acquire data that is difficult to obtain, overcome data labeling challenges, and simulate restricted or high-risk scenarios. Rendered.ai aims to revolutionize the use of synthetic data in AI and data analytics projects, with a vision that by 2030, synthetic data will surpass real data in AI models.

Solidroad is an AI-first training and feedback platform that turns company knowledge-base into immersive training programs. It offers personalized coaching, realistic simulations, and real-time feedback to improve team performance. The platform aims to make training programs easier to manage and more engaging for employees.

IW5 Bot Warfare is a GSC mod for the PlutoniumIW5 project that adds playable AI to the multiplayer games of Modern Warfare 3. It features a Waypoint Editor for creating and modifying bot's waypoints, a customizable menu for editing bot DVARs, compatibility with other mods, AI clients that simulate real players, and various bot behaviors such as capturing objectives, using killstreaks, targeting equipment, and more. The mod aims to provide a comprehensive Combat Training experience for MW3 multiplayer games.

IW4 Bot Warfare is a GSC mod for IW4x that adds playable AI to the multiplayer games of Modern Warfare 2. It features a Waypoint Editor for creating and modifying bot's waypoints, a customizable menu for editing bot DVARs, compatibility with other mods, loading waypoints from CSV files, and AI clients that simulate real players in various game modes with realistic behaviors and abilities. The mod aims to enhance the multiplayer experience by providing a challenging and dynamic gameplay environment with intelligent bots that interact with the game world effectively.

Reasonable Planning AI is a robust design and data-driven AI solution for game developers. It provides an AI Editor that allows creating AI without Blueprints or C++. The AI can think for itself, plan actions, adapt to the game environment, and act dynamically. It consists of Core components like RpaiGoalBase, RpaiActionBase, RpaiPlannerBase, RpaiReasonerBase, and RpaiBrainComponent, as well as Composer components for easier integration by Game Designers. The tool is extensible, cross-compatible with Behavior Trees, and offers debugging features like visual logging and heuristics testing. It follows a simple path of execution and supports versioning for stability and compatibility with Unreal Engine versions.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

This repository maintains a list of research papers on LLM-based Multi-Agents, categorized into five main streams: Multi-Agents Framework, Multi-Agents Orchestration and Efficiency, Multi-Agents for Problem Solving, Multi-Agents for World Simulation, and Multi-Agents Datasets and Benchmarks. The repository also includes a survey paper on LLM-based Multi-Agents and a table summarizing the key findings of the survey.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

This repo contains official implementations of **Coach AI Badminton Project** from Advanced Database System Laboratory, National Yang Ming Chiao Tung University supervised by Prof. Wen-Chih Peng. The high-level concepts of each project are as follows: 1. Visualization Platform published at _Physical Education Journal 2020_ aims to construct a platform that can be used to illustrate the data from matches. 2. Shot Influence and Extension Work published at _ICDM-21_ and _ACM TIST 2022_ , respectively introduce a framework with a shot encoder, a pattern extractor, and a rally encoder to capture long short-term dependencies for evaluating players' performance of each shot. 3. Stroke Forecasting published at _AAAI-22_ proposes the first stroke forecasting task to predict the future strokes of both players based on the given strokes by ShuttleNet, a position-aware fusion of rally progress and player styles framework. 4. Strategic Environment published at _AAAI-23 Student Abstract_ designs a safe and reproducible badminton environment for turn-based sports, which simulates rallies with different angles of view and designs the states, actions, and training procedures. 5. Movement Forecasting published at _AAAI-23_ proposes the first movement forecasting task, which contains not only the goal of stroke forecasting but also the movement of players, by DyMF, a novel dynamic graphs and hierarchical fusion model based on the proposed player movements (PM) graphs. 6. CoachAI-Challenge-IJCAI2023 is a badminton challenge (CC4) hosted at _IJCAI-23_. Please find the website for more details. 7. ShuttleSet published at _KDD-23_ is the largest badminton singles dataset with stroke-level records. - An extension dataset ShuttleSet22 published at _IJCAI-24 Demo & IJCAI-23 IT4PSS Workshop_ is also released. 8. CoachAI Badminton Environment published at _AAAI-24 Student Abstract and Demo, DSAI4Sports @ KDD 2023_ is a reinforcement learning (RL) environment tailored for AI-driven sports analytics, offering: i) Realistic opponent simulation for RL training; ii) Visualizations for evaluation; and iii) Performance benchmarks for assessing agent capabilities.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

AI-resources is a repository containing links to various resources for learning Artificial Intelligence. It includes video lectures, courses, tutorials, and open-source libraries related to deep learning, reinforcement learning, machine learning, and more. The repository categorizes resources for beginners, average users, and advanced users/researchers, providing a comprehensive collection of materials to enhance knowledge and skills in AI.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

A curated list of Generative AI projects, tools, artworks, and models

Simulate real dialogues, no political correctness, less railguards...

Practice makes perfect (and I make practice perfect): Get ready for the real exam with adaptive practice questions that mirror the NCLEX format and difficulty. The more you practice, the more confident you'll feel

Authentic ATC sim for immersive pilot training. (KEMT is the default airfield).

I provide C interview prep and conduct mock interviews.

McNamaraGPT is a realistic game to teach concepts of McNamara Fallacy to students.

提供专业家庭教育问题交流互动和分析解答及实操场景模拟！

Map or simulate a scenario real time analyze probability of a life event coming true based on circumstances

I'm a ransomware negotiation simulation and analysis bot trained with over 131 real-life negotiations. Type "start negotiation" to begin! New feature: Type "threat actor personality test"

Assisting tutor for distributed real-time systems, engaging with questions and explanations.

I assist doctors in simulations, summarizing patient encounters and devising hypothetical treatment plans.

I simulate tough Customer Support scenarios for Agent Training.

I simulate software engineering interviews using FAANG Technical Questions and provide feedback.

I simulate realistic interactions with design clients, offering diverse scenarios and feedback.

This CustomGPT is designed to simulate intricate discussions between representatives of various philosophical and ethical schools, such as the Renaissance, Stoicism, Existentialism, and others, using relevant texts and artworks as knowledge resources.

I simulate various businesses, guiding users through realistic scenarios. Make decisions, see their impact, and learn about business dynamics. Engaging and educational for aspiring entrepreneurs and business enthusiasts.

I simulate a PC, managing files and running virtual programs.

I simulate the governance of a unique company focused on AI for good

I simulate a junior employee for engaging and insightful 1-on-1 meetings. I am your new ally in building a stronger, more transparent, and more effective workplace. Start your journey towards better leadership and employee satisfaction today!

I simulate an ant colony's hive mind and translate its wisdom for humans.

I recreate and simulate historical events for interactive exploration.