Best AI tools for< Chess Club Organizer >

Chessvision.ai is an AI-powered eBook reader designed to enhance the study of chess eBooks. The application uses Artificial Intelligence and Computer Vision to make chess books interactive, allowing users to analyze positions, add comments, search online databases, watch YouTube videos, and analyze with the engine. It is recommended for players of all levels looking to improve their chess skills. The Reader has won the Best Chess Startup 2020 award and is known for its user-friendly interface and innovative approach to chess learning.

Noctie.ai is a personal AI chess coach with a human touch. It offers a variety of features to help users improve their chess game, including custom tactics & exercises, openings & endgames, and live insights. Noctie.ai is suitable for users of all levels, from beginners to grandmasters. It is a great way to practice chess, learn from your mistakes, and improve your overall chess skills.

Chesswith.ai is an AI-powered platform that offers a unique chess playing experience by integrating AI-generated chats. Players can engage in witty conversations with AI-powered characters while strategizing their moves to achieve victory. The platform aims to provide a fun and interactive environment for chess enthusiasts to enjoy the game in a new and engaging way.

Betafish.js is a Chess AI application that allows users to play chess against an AI opponent. Users can set the FEN position, make moves, and take back moves. The AI provides different thinking times for users to choose from. The application is created by Gavin and features a user-friendly interface with Staunty chess pieces and markers sprite.

LLMChess is a web-based chess game that utilizes large language models (LLMs) to power the gameplay. Players can select the LLM model they wish to play against, and the game will commence once the "Start" button is clicked. The game logs are displayed in a black-bordered pane on the right-hand side of the screen. LLMChess is compatible with the Google Chrome browser. For more information on the game's functionality and participation guidelines, please refer to the provided link.

Miko AI-Powered Robot is a smart companion for kids that offers a range of interactive and educational experiences. It includes products like Miko Mini, Miko 3, Miko Chess, and Miko Max, designed to enhance children's learning and playtime. The robot focuses on developing various quotients in kids, such as IQ, EQ, SQ, and PQ. Additionally, Miko ensures data security and privacy, making it a family-friendly AI tool.

Big Boobs & Big Tits is an AI application that offers users the ability to enhance their body shape using powerful AI technology. The application allows users to customize and create their desired big boobs and big tits through the use of advanced AI algorithms. With a focus on body image enhancement, Big Boobs & Big Tits provides a unique and innovative solution for individuals looking to achieve their desired physical appearance.

KITI.AI is an AI-powered platform that creates personalized food kits based on trending recipes. Users can simply provide a link to a recipe, and KITI.AI will assemble a food kit ready to be shipped. The platform offers a wide range of recipe options from various creators, making it easy for users to discover and try new dishes. KITI.AI is designed to simplify the meal preparation process and provide users with convenient access to high-quality ingredients for their favorite recipes.

Qure AI is a leading healthcare AI application that offers AI-powered assistance for accelerated healthcare products impact. It provides evidence-based insights and solutions for lung, heart, neuro, and musculoskeletal conditions. Qure AI is designed to be a perfect collaborator in every care decision, with the ability to deploy and scale anywhere with best-in-class support. The application focuses on chest X-ray reporting, TB care cascades, lung nodule management, stroke and traumatic brain injury (TBI), musculoskeletal X-ray reporting, and heart failure.

MyMealPlan is an AI-powered meal planning app that helps users create personalized meal plans based on their dietary preferences, allergies, and restrictions. The app offers a variety of recipes from celebrity chefs and curates a list of the best recipes from the web. MyMealPlan also provides users with a grocery list to make shopping for meals easier.

Curioustone is a suite of AI applications tailored to empower individuals and professionals across industries, including marketing experts, business owners, chefs, and politicians. Our state-of-the-art AI tools are designed to address the unique needs of each user, streamlining tasks and optimizing results.

RecipeGen AI is an AI-powered application that helps users discover delicious recipes based on the ingredients they already have. It offers personalized recipes tailored to individual preferences, reducing food waste and enhancing creativity in cooking. With a variety of chefs and ingredients to choose from, RecipeGen AI simplifies the recipe search process and saves time in meal planning.

CookMe is an AI-powered cooking assistant designed to help users with meal planning, recipe suggestions, and cooking instructions. The application utilizes advanced algorithms to provide personalized recommendations based on user preferences and dietary restrictions. With a user-friendly interface, CookMe aims to simplify the cooking process for both beginners and experienced chefs, offering a wide range of recipes and cooking tips. Whether you're looking for quick meal ideas or gourmet recipes, CookMe has you covered.

UnrealMeal.ai is a revolutionary AI-powered platform that transforms the culinary experience. Our cutting-edge technology empowers users to create mouthwatering dishes with ease, explore a vast recipe library, and receive personalized recommendations based on their preferences. With UnrealMeal.ai, home cooks and professional chefs alike can unlock their culinary potential and embark on a delightful gastronomic journey.

Slide Dish is an AI-powered application designed to inspire home cooking and plating enthusiasts. Users can swipe and rate dishes to discover new culinary inspiration, generate customized recipes, and unleash their inner food critic. The AI feature helps users whip up culinary wonders tailored to their tastes or surprise them with delightful randomness. With Slide Dish, users can become better home chefs by showcasing their cooking and plating skills, sharing dishes, and receiving 'Yummy' ratings. The application aims to provide a unique and delicious adventure in every meal, making home cooking a fun and creative experience.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

This repository evaluates Large Language Models (LLMs) trained on PGN format chess games using linear probes. It assesses the LLMs' internal understanding of board state and their ability to estimate player skill levels. The repo provides tools to train, evaluate, and visualize linear probes on LLMs trained to play chess with PGN strings. Users can visualize the model's predictions, perform interventions on the model's internal board state, and analyze board state and player skill level accuracy across different LLMs. The experiments in the repo can be conducted with less than 1 GB of VRAM, and training probes on the 8 layer model takes about 10 minutes on an RTX 3050. The repo also includes scripts for performing board state interventions and skill interventions, along with useful links to open-source code, models, datasets, and pretrained models.

Camera Chess Web is a tool that allows you to use your phone camera to replace chess eBoards. With Camera Chess Web, you can broadcast your game to Lichess, play a game on Lichess, or digitize a chess game from a video or live stream. Camera Chess Web is free to download on Google Play.

Winter is a UCI chess engine that has competed at top invite-only computer chess events. It is the top-rated chess engine from Switzerland and has a level of play that is super human but below the state of the art reached by large, distributed, and resource-intensive open-source projects like Stockfish and Leela Chess Zero. Winter has relied on many machine learning algorithms and techniques over the course of its development, including certain clustering methods not used in any other chess programs, such as Gaussian Mixture Models and Soft K-Means. As of Winter 0.6.2, the evaluation function relies on a small neural network for more precise evaluations.

Black Marlin is a UCI compliant chess engine fully written in Rust by Doruk Sekercioglu. It supports Chess960 and features a variety of search algorithms, pruning techniques, and evaluation methods. Black Marlin is designed to be efficient and accurate, and it has been shown to perform well against other top chess engines.

Minic is a chess engine developed for learning about chess programming and modern C++. It is compatible with CECP and UCI protocols, making it usable in various software. Minic has evolved from a one-file code to a more classic C++ style, incorporating features like evaluation tuning, perft, tests, and more. It has integrated NNUE frameworks from Stockfish and Seer implementations to enhance its strength. Minic is currently ranked among the top engines with an Elo rating around 3400 at CCRL scale.

Caissa is a strong, UCI command-line chess engine optimized for regular chess, FRC, and DFRC. It features its own neural network trained with self-play games, supports various UCI options, and provides different EXE versions for different CPU architectures. The engine uses advanced search algorithms, neural network evaluation, and endgame tablebases. It offers outstanding performance in ultra-short games and is written in C++ with modules for backend, frontend, and utilities like neural network trainer and self-play data generator.

Bagatur chess engine is a powerful Java chess engine that can run on Android devices and desktop computers. It supports the UCI protocol and can be easily integrated into chess programs with user interfaces. The engine is available for download on various platforms and has advanced features like SMP (multicore) support and NNUE evaluation function. Bagatur also includes syzygy endgame tablebases and offers various UCI options for customization. The project started as a personal challenge to create a chess program that could defeat a friend, leading to years of development and improvements.

ElephantEye is a free Chinese Chess program that follows the GNU Lesser General Public Licence. It is designed for chess enthusiasts and programmers to use freely. The program works as a XiangQi engine for XQWizard with strong AI capabilities. ElephantEye supports UCCI 3.0 protocol and offers various parameter settings for users to customize their experience. The program uses brute-force chess algorithms and static position evaluation techniques to search for optimal moves. ElephantEye has participated in computer chess competitions and has been tested on various online chess platforms. The source code of ElephantEye is available on SourceForge for developers to explore and improve.

A distributed Java game server based on chess, card, and MMORPG games, theoretically capable of infinitely scaling gateway, lobby, and game servers to accommodate player numbers. It implements a cluster registration center, common servers such as gateway, login, and backend server monitoring; encapsulates Redis cluster, MongoDB, and other database handling; encapsulates message queues, thread models, and tools such as data import. The gateway server uses Mina to encapsulate TCP, UDP, WebSocket, HTTP communication, allowing the framework to support multiple protocol clients for gaming. Each directory ending with 'scripts' contains script files for the corresponding projects.

TFTMuZeroAgent is an implementation of a purely artificial intelligence algorithm to play Teamfight Tactics, an auto chess game made by Riot. It uses a simulation of TFT Set 4 and the MuZero reinforcement learning algorithm. The project provides a multi-agent petting zoo environment where players, pool, and game round classes are designed for AI project. The implementation excludes graphics and sounds but covers all aspects of the game from set 4. The codebase is open for contributions and improvements, allowing for additional models to be added to the environment.

Pgx is a collection of GPU/TPU-accelerated parallel game simulators for reinforcement learning (RL). It provides JAX-native game simulators for various games like Backgammon, Chess, Shogi, and Go, offering super fast parallel execution on accelerators and beautiful visualization in SVG format. Pgx focuses on faster implementations while also being sufficiently general, allowing environments to be converted to the AEC API of PettingZoo for running Pgx environments through the PettingZoo API.

MachineSoM is a code repository for the paper 'Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View'. It focuses on the emergence of intelligence from collaborative and communicative computational modules, enabling effective completion of complex tasks. The repository includes code for societies of LLM agents with different traits, collaboration processes such as debate and self-reflection, and interaction strategies for determining when and with whom to interact. It provides a coding framework compatible with various inference services like Replicate, OpenAI, Dashscope, and Anyscale, supporting models like Qwen and GPT. Users can run experiments, evaluate results, and draw figures based on the paper's content, with available datasets for MMLU, Math, and Chess Move Validity.

Vocode is an open source library that enables users to easily build voice-based LLM (Large Language Model) apps. With Vocode, users can create real-time streaming conversations with LLMs and deploy them for phone calls, Zoom meetings, and more. The library offers abstractions and integrations for transcription services, LLMs, and synthesis services, making it a comprehensive tool for voice-based applications.

Awesome Text2SQL is a curated repository containing tutorials and resources for Large Language Models, Text2SQL, Text2DSL, Text2API, Text2Vis, and more. It provides guidelines on converting natural language questions into structured SQL queries, with a focus on NL2SQL. The repository includes information on various models, datasets, evaluation metrics, fine-tuning methods, libraries, and practice projects related to Text2SQL. It serves as a comprehensive resource for individuals interested in working with Text2SQL and related technologies.

Awesome LLM Apps is a curated collection of applications that leverage RAG with OpenAI, Anthropic, Gemini, and open-source models. The repository contains projects such as Local Llama-3 with RAG for chatting with webpages locally, Chat with Gmail for interacting with Gmail using natural language, Chat with Substack Newsletter for conversing with Substack newsletters using GPT-4, Chat with PDF for intelligent conversation based on PDF documents, and Chat with YouTube Videos for engaging with YouTube video content through natural language. Users can clone the repository, navigate to specific project directories, install dependencies, and follow project-specific instructions to set up and run the apps. Contributions are encouraged, and new app ideas or improvements can be submitted via pull requests.

Vocode is an open source library that enables users to build voice-based LLM (Large Language Model) applications quickly and easily. With Vocode, users can create real-time streaming conversations with LLMs and deploy them for phone calls, Zoom meetings, and more. The library offers abstractions and integrations for transcription services, LLMs, and synthesis services, making it a comprehensive tool for voice-based app development. Vocode also provides out-of-the-box integrations with various services like AssemblyAI, OpenAI, Microsoft Azure, and more, allowing users to leverage these services seamlessly in their applications.

Chess coach

Intellectual chess expert offering strategy insights and tournament analysis.

I guide chess strategy and visualize board states.

A chess instructor tailoring lessons and exercises to students' levels.

From novice to grandmaster, this enigmatic figure will be your guide, blending chess mastery with philosophical depth.

Chess player GPT that plays with users using standard notation.

Let's try to win versus GPT AI or learn from him !

I am your chess mentor and guide.

Chess analysis and learning assistant

Culinary Consultant for Chefs and Cooks, Offering Creative, Expert Advice.

French cuisine inspired by renowned chefs, focusing on creative, high-quality recipes. 👨‍🍳

Kids can cook

Expert baker and pastry chef advice

informative chatbot on Pneumonia Treatment and Prevention.