Best AI tools for< Analyze Sports Data >

Leans.AI is an AI-powered sports prediction algorithm that provides free sports picks and predictions for NFL, NBA, CBB, NHL, MLB, and CFB games. It uses AI technology to analyze thousands of data points on each game, calculate cover probabilities, assign units to picks, and release top picks daily. The application aims to help users make informed betting decisions based on data-driven insights and improve their chances of winning against the spread. Leans.AI is known for its transparency, historical performance metrics, and continuous improvement through machine learning techniques.

ATS Wins is a dynamic sports analysis platform that offers expert betting advice and predictions across various sports. The platform utilizes advanced AI algorithms and expert insights to help sports enthusiasts make well-informed betting decisions. ATS Wins stands out by providing data-driven predictions based on factors like injuries, team form, standings, and more. Additionally, the platform offers sportsbook average odds, public betting splits, and transparent winning percentages. Users can access real-time updates and a range of subscription plans for comprehensive sports coverage.

Stat Pick AI is a powerful AI-powered sports analytics platform that provides users with in-depth insights and predictions on a wide range of sports. With Stat Pick AI, users can gain a competitive edge by accessing real-time data, advanced analytics, and expert insights. The platform is designed to help users make informed decisions, identify opportunities, and improve their performance in sports betting, fantasy sports, and other sports-related activities.

Sports AI is an AI-powered platform that provides the most accurate and profitable sports predictions in the market. It utilizes machine learning algorithms and advanced sports data to offer free daily predictions for a wide range of events. Users can revolutionize their betting strategy with AI-powered value bets across various sports like soccer/football, tennis, basketball, hockey, handball, and volleyball. The platform helps users make better betting decisions by analyzing data, learning from past mistakes, and accurately determining the profitability of certain outcomes.

Sports AI is an AI-powered platform that provides the most accurate and profitable sports predictions on the market. It utilizes machine learning algorithms and advanced sports data to offer daily predictions for various events across sports like soccer/football, tennis, basketball, hockey, handball, and volleyball. The platform helps users make better betting decisions by analyzing data, learning from past mistakes, and improving over time to accurately determine the profitability of certain outcomes. Sports AI also offers a blog with valuable information on bet tips, value betting, and technical details of their algorithms.

Julius is an AI data analyst tool developed by the team behind HoopsGPT. It simplifies sports insights by providing users with comprehensive information about the game. With features like Stats Lookup, Shot Charts visualization, Parlay Analyzer, and Props/Game Comparisons, Julius offers a user-friendly platform for analyzing sports data and making informed decisions. Whether you're interested in checking complex stats, visualizing shot charts, or comparing odds, Julius has you covered. It's a valuable tool for sports enthusiasts and bettors looking to enhance their understanding of the game.

Mysports AI is a cutting-edge AI sports prediction tool that leverages deep learning technology to provide valuable betting insights and profitable bets. The platform offers users the opportunity to enhance the value of their betting experience by utilizing AI-generated models and strategies. With a focus on long-term profitability and high win rates, Mysports AI aims to revolutionize the sports betting industry by offering a user-friendly interface and a wide range of sportsbooks to choose from.

UpT Golf is a cutting-edge application designed for golfers, athletes, and coaches to enhance their skills and performance. Powered by Computer Vision and Artificial Intelligence, the app offers in-depth swing analysis, progress tracking, personalized recommendations, and real-time feedback. It provides a user-friendly interface for golfers to monitor their progress and for coaches to analyze and guide their students effectively. UpT Golf also facilitates communication among players and coaches, creating a supportive community for sharing experiences and tips. With innovative features and advanced tools, UpT Golf revolutionizes golf training by making it more efficient, enjoyable, and accessible to users worldwide.

The website is an AI sports betting prediction platform called COPA. It offers high-quality sports predictions using Artificial Intelligence (AI) for various football events. Users can access match predictions, statistics, and betting insights for top global leagues. The platform aims to provide informed betting choices and predictive tools for European football leagues, with plans to expand to other sports in the future. COPA is designed to empower sports fans with accurate forecasts at an affordable cost.

BetSense.ai is an AI sports predicting tool that leverages cutting-edge AI technology to help users make informed decisions in sports betting. The tool provides data-driven predictions based on historical and recent data inputs, covering top soccer leagues and offering daily AI predictions. With a focus on increasing productivity, BetSense.ai offers insights, machine learning capabilities, and access to an extended range of computer predictions. Users can subscribe to monthly or yearly plans for different levels of access and insights.

The Octagon Oracle is an AI-powered platform for UFC betting predictions and fantasy point projections. It offers highly accurate fight picks and projections based on advanced algorithms and data analysis. Users can simulate strategies, access detailed analytics, and customize their betting approach for maximum returns. The platform aims to provide sports bettors with a competitive edge in UFC betting by leveraging AI technology and historical data.

Football Predictions AI is a website that provides users with accurate and reliable football match predictions. Users can access a variety of prediction types, including 1x2, BTTS, Over Under, and Correct Score predictions for matches across different leagues. The site also offers live scores, articles, and settings to customize the user experience. With a focus on user privacy and data protection, Football Predictions AI aims to enhance the football betting experience for enthusiasts and fans.

XaslarBet is an AI betting tips platform that provides advanced trained models for NBA player props and football picks. The platform offers free AI sports tools using predictive analytics and machine learning algorithms to enhance the betting experience. XaslarBet focuses on player performances and historical data to deliver accurate picks across various sports markets, including basketball, baseball, and cricket. The platform aims to revolutionize the betting landscape by offering real-time AI sports predictions for both newcomers and seasoned bettors.

PlaymakerAI is an AI-powered platform that provides football analytics and scouting services to football clubs, agents, media companies, betting companies, researchers, and educators. The platform offers access to AI-evaluated football data from hundreds of leagues worldwide, individual player reports, analytics and scouting services, media insights, and a Playmaker Personality Profile for deeper understanding of squad dynamics. PlaymakerAI revolutionizes the way football organizations operate by offering clear, insightful information and expert assistance in football analytics and scouting.

Uplift is an AI-powered platform that optimizes human movement performance by providing insights for sports performance, sports medicine, and sports media. It offers products like Uplift Capture and Uplift Vision to enhance performance, minimize risk, and elevate broadcasting experiences. The platform is utilized by Major League Baseball, professional sports teams, elite performance coaches, and Division I athletics programs. Uplift uses AI-powered movement analysis to unlock unrivaled insights for athletes and broadcasters, helping them improve performance, reduce injury risk, and engage fans effectively.

Football Writer is an AI-powered tool that helps you create engaging and informative football articles. With Football Writer, you can quickly and easily generate articles on any football match, using data from live matches. Football Writer's AI technology analyzes the data and generates articles that are tailored to your audience and your desired tone. You can also customize the articles to your liking, adding your own insights and analysis.

SportBoost AI is an AI-powered application designed to help athletes measure and improve their performance in various sports. The platform offers innovative solutions that leverage advanced Artificial Intelligence technology to track metrics such as ball speeds and jump performances. SportBoost AI aims to democratize access to performance data for athletes and coaches at all levels, from amateur to professional. The application is committed to elevating athletic excellence through continuous research and development efforts.

SAS Blogs is an AI tool that offers a platform for advanced analytics, artificial intelligence, and machine learning. It provides insights and resources on various topics such as customer intelligence, data management, risk management, and programming tips. The platform caters to a wide range of industries including banking, healthcare, manufacturing, and sports. Users can access a wealth of information, articles, and events related to SAS software and applications.

Veritone is a leading provider of artificial intelligence (AI) solutions for businesses. Its flagship product, aiWARE, is an enterprise AI platform that provides access to hundreds of cognitive engines through one common software infrastructure. Veritone's AI solutions are used by businesses in a variety of industries, including media and entertainment, recruitment, government, legal and compliance, and sports. Veritone's mission is to augment the human workforce by transforming use-case concepts into tangible, industry-leading applications and solutions.

Veo is a sports camera and software company that provides tools for recording, analyzing, and live-streaming games. Veo's AI-powered tools automatically break down your game, so it's ready for you to watch and analyze. Veo Analytics provides an overview of your team's performance, and Veo Live lets you stream your games live to any destination. Veo is used by clubs on all levels from all over the world, including Inter Miami CF, Wolverhampton, and Burnley F.C.

BambooAI is a lightweight library utilizing Large Language Models (LLMs) to provide natural language interaction capabilities, much like a research and data analysis assistant enabling conversation with your data. You can either provide your own data sets, or allow the library to locate and fetch data for you. It supports Internet searches and external API interactions.

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-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

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.

Lobe Chat Plugins Index is a repository that serves as a collection of various plugins for Function Calling. Users can submit their plugins by following specific instructions. The repository includes a wide range of plugins for different tasks such as image generation, stock analysis, web search, NFT tracking, calendar management, and more. Each plugin is tagged with relevant keywords for easy identification and usage. The repository encourages contributions and provides guidelines for submitting new plugins. It is a valuable resource for developers looking to enhance chatbot functionalities with different plugins.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

Tools4AI is a Java-based Agentic Framework for building AI agents to integrate with enterprise Java applications. It enables the conversion of natural language prompts into actionable behaviors, streamlining user interactions with complex systems. By leveraging AI capabilities, it enhances productivity and innovation across diverse applications. The framework allows for seamless integration of AI with various systems, such as customer service applications, to interpret user requests, trigger actions, and streamline workflows. Prompt prediction anticipates user actions based on input prompts, enhancing user experience by proactively suggesting relevant actions or services based on context.

InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.

Video-MME is the first-ever comprehensive evaluation benchmark of Multi-modal Large Language Models (MLLMs) in Video Analysis. It assesses the capabilities of MLLMs in processing video data, covering a wide range of visual domains, temporal durations, and data modalities. The dataset comprises 900 videos with 256 hours and 2,700 human-annotated question-answer pairs. It distinguishes itself through features like duration variety, diversity in video types, breadth in data modalities, and quality in annotations.

MME-RealWorld is a benchmark designed to address real-world applications with practical relevance, featuring 13,366 high-resolution images and 29,429 annotations across 43 tasks. It aims to provide substantial recognition challenges and overcome common barriers in existing Multimodal Large Language Model benchmarks, such as small data scale, restricted data quality, and insufficient task difficulty. The dataset offers advantages in data scale, data quality, task difficulty, and real-world utility compared to existing benchmarks. It also includes a Chinese version with additional images and QA pairs focused on Chinese scenarios.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

FootBallPrediction (FBP) is a software project that utilizes big data and machine learning to predict the outcome of football matches based on odds from gambling companies. The software has achieved an accuracy rate of over 80% in predicting match results. The current version, 22.0, successfully predicted eight out of nine matches from major football leagues. The project has a community of over 60 members who benefit from the predicted results. The author is seeking collaboration to further enhance the project and welcomes interested individuals to join. AI-FBP is a subscription service that provides daily football game predictions.

sktime is a Python library for time series analysis that provides a unified interface for various time series learning tasks such as classification, regression, clustering, annotation, and forecasting. It offers time series algorithms and tools compatible with scikit-learn for building, tuning, and validating time series models. sktime aims to enhance the interoperability and usability of the time series analysis ecosystem by empowering users to apply algorithms across different tasks and providing interfaces to related libraries like scikit-learn, statsmodels, tsfresh, PyOD, and fbprophet.

The Looker GenAI Extension provides code examples and resources for building a Looker Extension that integrates with Vertex AI Large Language Models (LLMs). Users can leverage the power of LLMs to enhance data exploration and analysis within Looker. The extension offers generative explore functionality to ask natural language questions about data and generative insights on dashboards to analyze data by asking questions. It leverages components like BQML Remote Models, BQML Remote UDF with Vertex AI, and Custom Fine Tune Model for different integration options. Deployment involves setting up infrastructure with Terraform and deploying the Looker Extension by creating a Looker project, copying extension files, configuring BigQuery connection, connecting to Git, and testing the extension. Users can save example prompts and configure user settings for the extension. Development of the Looker Extension environment includes installing dependencies, starting the development server, and building for production.

Cleanlab helps you **clean** data and **lab** els by automatically detecting issues in a ML dataset. To facilitate **machine learning with messy, real-world data** , this data-centric AI package uses your _existing_ models to estimate dataset problems that can be fixed to train even _better_ models.

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

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.

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