Best AI tools for< Basketball Scout >

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.

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.

Agenda Hero is an AI-powered tool that allows users to instantly convert text or images into structured and shareable schedules, calendars, and event plans. Users can easily create detailed schedules for various activities such as basketball team practices, offsite agendas, marketing events calendars, book club meetings, musical theater schedules, family calendars, trip itineraries, and more. The tool automates the process of generating ideas and reminders, making it convenient for users to organize their daily tasks and events efficiently.

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.

Chicago Bull AI Wallstreet Chatbot is an AI application designed to provide users with real-time information and insights on the stock market. Users can interact with the chatbot to ask questions related to equities, crypto, or bond markets. The chatbot is not affiliated with the Chicago Bulls organization or the National Basketball Association. It aims to assist users in making informed investment decisions by providing market updates and analysis.

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.

mlx-llm is a library that allows you to run Large Language Models (LLMs) on Apple Silicon devices in real-time using Apple's MLX framework. It provides a simple and easy-to-use API for creating, loading, and using LLM models, as well as a variety of applications such as chatbots, fine-tuning, and retrieval-augmented generation.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases), perform root cause analysis on failure cases and give insights on how to resolve them.

The GFM-RAG is a graph foundation model-powered pipeline that combines graph neural networks to reason over knowledge graphs and retrieve relevant documents for question answering. It features a knowledge graph index, efficiency in multi-hop reasoning, generalizability to unseen datasets, transferability for fine-tuning, compatibility with agent-based frameworks, and interpretability of reasoning paths. The tool can be used for conducting retrieval and question answering tasks using pre-trained models or fine-tuning on custom datasets.

EasyEdit is a Python package for edit Large Language Models (LLM) like `GPT-J`, `Llama`, `GPT-NEO`, `GPT2`, `T5`(support models from **1B** to **65B**), the objective of which is to alter the behavior of LLMs efficiently within a specific domain without negatively impacting performance across other inputs. It is designed to be easy to use and easy to extend.

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.

LLMLingua is a tool that utilizes a compact, well-trained language model to identify and remove non-essential tokens in prompts. This approach enables efficient inference with large language models, achieving up to 20x compression with minimal performance loss. The tool includes LLMLingua, LongLLMLingua, and LLMLingua-2, each offering different levels of prompt compression and performance improvements for tasks involving large language models.

CAPPr is a tool for text classification that does not require training or post-processing. It allows users to have their language models pick from a list of choices or compute the probability of a completion given a prompt. The tool aims to help users get more out of open source language models by simplifying the text classification process. CAPPr can be used with GGUF models, Hugging Face models, models from the OpenAI API, and for tasks like caching instructions, extracting final answers from step-by-step completions, and running predictions in batches with different sets of completions.

AI4Animation is a comprehensive framework for data-driven character animation, including data processing, neural network training, and runtime control, developed in Unity3D/PyTorch. It explores deep learning opportunities for character animation, covering biped and quadruped locomotion, character-scene interactions, sports and fighting games, and embodied avatar motions in AR/VR. The research focuses on generative frameworks, codebook matching, periodic autoencoders, animation layering, local motion phases, and neural state machines for character control and animation.

The Awesome-Neuro-Symbolic-Learning-with-LLM repository is a curated collection of papers and resources focusing on improving reasoning and planning capabilities of Large Language Models (LLMs) and Multi-Modal Large Language Models (MLLMs) through neuro-symbolic learning. It covers a wide range of topics such as neuro-symbolic visual reasoning, program synthesis, logical reasoning, mathematical reasoning, code generation, visual reasoning, geometric reasoning, classical planning, game AI planning, robotic planning, AI agent planning, and more. The repository provides a comprehensive overview of tutorials, workshops, talks, surveys, papers, datasets, and benchmarks related to neuro-symbolic learning with LLMs and MLLMs.

VideoDB Python SDK allows you to interact with the VideoDB serverless database. Manage videos as intelligent data, not files. It's scalable, cost-efficient & optimized for AI applications and LLM integration. The SDK provides functionalities for uploading videos, viewing videos, streaming specific sections of videos, searching inside a video, searching inside multiple videos in a collection, adding subtitles to a video, generating thumbnails, and more. It also offers features like indexing videos by spoken words, semantic indexing, and future indexing options for scenes, faces, and specific domains like sports. The SDK aims to simplify video management and enhance AI applications with video data.

LongCite is a tool that enables Large Language Models (LLMs) to generate fine-grained citations in long-context Question Answering (QA) scenarios. It provides models trained on GLM-4-9B and Meta-Llama-3.1-8B, supporting up to 128K context. Users can deploy LongCite chatbots, generate accurate responses, and obtain precise sentence-level citations. The tool includes components for model deployment, Coarse to Fine (CoF) pipeline for data construction, model training using LongCite-45k dataset, evaluation with LongBench-Cite benchmark, and citation generation.

This is a no-nonsense async Scala client for OpenAI API supporting all the available endpoints and params including streaming, chat completion, vision, and voice routines. It provides a single service called OpenAIService that supports various calls such as Models, Completions, Chat Completions, Edits, Images, Embeddings, Batches, Audio, Files, Fine-tunes, Moderations, Assistants, Threads, Thread Messages, Runs, Run Steps, Vector Stores, Vector Store Files, and Vector Store File Batches. The library aims to be self-contained with minimal dependencies and supports API-compatible providers like Azure OpenAI, Azure AI, Anthropic, Google Vertex AI, Groq, Grok, Fireworks AI, OctoAI, TogetherAI, Cerebras, Mistral, Deepseek, Ollama, FastChat, and more.

A scouting resource on high school basketball recruiting

Global basketball expert with a focus on EuroLeague and NBA. In-depth analyses and predictions.

Experto en ejercicios, planificación, técnica y táctica de baloncesto, ¡tu entrenador ayudante!

Basketball Brainiac is the ultimate strategy app designed for players, coaches, and fans who wish to deepen their understanding of a game. This app serves as a comprehensive guide, offering valuable insights into game planning, the rich history of basketball, and the tactical nuances of each match.

Fast, efficient NBA analyst for game predictions.

A knowledgeable guide on college baseball, championships, and teams.

Career advice from baseball experts and specific baseball people

Welcome to Strategy Slugger the app designed for baseball enthusiasts, coaches, and players seeking in-depth knowledge and strategies about game. This interactive tool is your gateway to mastering baseball, offering insights into game planning, historical contexts, and tactical approaches to match.

Backed by the best MLB data engines! Get current and historical statistics for players, teams and games.

Specialist in MLB live scores and historical data

A high school baseball enthusiast sharing insights on teams and tournaments.

Creates dynamic anime basketball scenes

RuleMaster is your go-to guide for understanding and mastering the rules of various sports. From mainstream games like soccer and basketball to less common sports like curling and handball, with real-world scenarios to help you get a firm grasp on the rules of your favorite sports.

Sports Card Guru is a specialized version of ChatGPT designed to assist sports card collectors. It covers Baseball, Basketball, Football and other sports.

辅助用户分析篮球彩票数据和走势。

Chat about NBA stats with Sheed!!! — (Source/credit: @hi_im_danny / balldontlie.io)

An expert on Michigan State, offering detailed information on Michigan State history and sports.

All the Lakers gossip

I explain MLB rules for any game situation.

Expert in British baseball history, sourcing from projectcobb.org.uk and the internet