Best AI tools for< Predict Team Performance >

Marlee is a collaboration and performance AI tool that helps individuals and teams work better together. It provides personalized insights on motivations, work styles, and team dynamics to enhance productivity and teamwork. With a focus on talent acquisition, talent development, conflict resolution, team performance, and communication, Marlee offers data-backed cognitive and behavioral insights to create a healthy work culture and improve team performance.

Simpleem is an Artificial Emotional Intelligence (AEI) tool that helps users uncover intentions, predict success, and leverage behavior for successful interactions. By measuring all interactions and correlating them with concrete outcomes, Simpleem provides insights into verbal, para-verbal, and non-verbal cues to enhance customer relationships, track customer rapport, and assess team performance. The tool aims to identify win/lose patterns in behavior, guide users on boosting performance, and prevent burnout by promptly identifying red flags. Simpleem uses proprietary AI models to analyze real-world data and translate behavioral insights into concrete business metrics, achieving a high accuracy rate of 94% in success prediction.

Watercooler is an AI-driven HR analytics platform that helps organizations optimize their workforce data. It seamlessly consolidates HR and business data, enabling users to make data-driven decisions on important HR matters such as turnover, performance, engagement, and leadership programs. Watercooler leverages AI to uncover patterns, predict risks, and take proactive actions to protect team performance. The platform integrates with existing HRIS and communication platforms, offering instant reports through conversational AI and facilitating data consolidation for real-time insights.

InteliConvo® is a state-of-the-art AI-powered speech analytics and automation platform that enables businesses to process and analyze recorded customer conversations. It provides valuable insights into customer buying patterns, intents, sentiments, and feedback, which can be utilized to automate workflows, improve team performance, accelerate sales, enhance debt collections, boost customer experience, and ensure compliance. The platform offers features like multilingual support, flexible deployment options, hot lead identification, debt default prediction, brand building insights, and compliance monitoring.

Graphite Note is a no-code AI tool that helps businesses transform data into key drivers, predictions, and next-best actions. It is designed to be user-friendly and accessible to businesses of all sizes, even those without a data science team. With Graphite Note, businesses can quickly and easily generate AI models, understand patterns in their data, predict future outcomes, and get actionable insights. This can help businesses make better decisions, improve their operations, and grow their revenue.

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.

ABATA AI is an innovative AI-driven CRM platform that leverages advanced artificial intelligence and machine learning to revolutionize customer relationship management. The application offers a suite of powerful solutions including Assist, Beacon, Coach, and Duke, which automate tasks, predict customer behavior, enhance team productivity, and provide deep insights to drive business growth and customer satisfaction.

FeedHive is an AI-powered social media management platform that helps businesses and content creators create, schedule, publish, and manage their social media content at scale. With FeedHive, users can visually plan and schedule their content, engage with their followers directly from the platform, and use AI to generate hashtags, predict post performance, and improve their content. FeedHive also offers a range of collaboration and approval features, making it easy for teams to work together on social media campaigns.

Jeffrey Célavie is an AI astrology service that offers personalized astrology readings based on Western, Vedic, and Chinese astrology. The platform utilizes advanced AI capabilities, including the latest GPT-4O mini integration, to provide real-time predictions and comprehensive analysis. With a user-friendly interface and interactive chatbot, Jeffrey Célavie aims to guide users through life's twists and turns by offering affordable and accurate astrological insights.

Pecan AI is a predictive analytics software product designed for business and data analysts. It offers blazing-fast predictions, seamless integrations, and requires no machine learning experience. Pecan empowers teams to succeed with impactful AI models, automates data preparation, and features a Predictive Chat, Predictive Notebook, and guided or DIY predictive modeling tools. The platform helps users build trustworthy predictive models, optimize campaigns, and make data-driven decisions to drive business growth.

Ogoodo is a Kanban tool that helps teams to visualize their workflow, track their progress, and improve their productivity. It offers a variety of features to support the Kanban framework, including a board view, time tracking, timeline prediction, and analytics. Ogoodo is designed to be easy to use and can be customized to fit the needs of any team.

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.

dealcode AI is an AI-powered sales co-pilot application designed to enhance B2B sales team efficiency. It utilizes advanced AI technology to identify, gather information about potential B2B leads, enrich lead data, evaluate lead potential, automate personalized communication with prospects, and manage sales communications efficiently. The application also offers features like lead qualification, lead enrichment, smart outreach, and campaign analytics to predict future sales trends. With dealcode AI, companies can overcome labor shortages, increase sales productivity, and focus on closing deals faster.

Halfspace is an award-winning data, advanced analytics, and AI company that helps companies drive growth by leveraging applied Advanced Analytics & Artificial Intelligence. Their team, consisting of physicists, engineers, computer scientists, and designers, is data-driven to the core and captures value from data to unleash maximum potential. They work with bold and ambitious clients to create long-term value, focusing on quality above all.

Stork is an AI App Directory & Marketplace that provides a comprehensive listing of over 9000 AI tools and agents. The platform allows users to search and discover AI tools based on their specific needs and preferences. Stork also offers a variety of resources and support to help users get the most out of AI technology.

Staircase AI is a Customer Intelligence and Analytics Platform that leverages Artificial Revenue Intelligence to predict churn, identify growth opportunities, and enhance productivity for customer-facing teams. The platform captures and analyzes various customer signals in real-time, automates the identification of churn risks and growth opportunities, and provides health and sentiment scores. Staircase AI offers features such as Churn Prediction & Prevention, Drive Growth & Expansion, Governance & Visibility, and a 360° data warehouse for data accuracy. It helps boost customer revenue, increase efficiency, and provides visibility without operational dependencies on CRM perfection.

Keepme is an AI-powered platform designed for gyms to boost sales, predict and prevent attrition, and enhance member retention. It offers features such as Keepme Score™ for predicting attrition, smart lead scoring, gym tours & trials scheduler, NPS surveys, smart campaigns & automations, smart content production, and WhatsApp integration. The platform provides personalized training and world-class support through Keepme Academy and customer success team. Keepme is trusted by over 450 fitness clubs globally and offers valuable AI resources to empower users with knowledge.

Allex is a project management and portfolio management software that offers a digital multi-project solution. It helps project professionals accelerate time-to-market results by harmonizing projects, resources, and tasks. The platform enables users to have a sweeping overview of projects, predict capacity bottlenecks, improve project coordination through collaboration, and communicate effectively with internal and external stakeholders. Allex is designed to handle complex projects and offers expert support to ensure informed decision-making from planning to launch.

Fini is an AI application that turns your knowledge base into an AI chat in just 2 minutes. It helps businesses supercharge their customer support by resolving 70% of customer questions with AI agents, saving costs, and keeping customers happy. Fini securely integrates with private data and provides AI agents ready 24/7 to solve customer queries on platforms like Zendesk, Slack, and Discord. It also helps growth teams at PLG companies identify reasons for churn and deliver personalized experiences to retain existing customers.

Decision is a decision-making platform that uses AI to help individuals and teams make better, faster decisions. It offers features such as assisted decision-making, AI-powered assistant, spark creativity, write better, understand faster, prime prediction, proven frameworks, organized communication, and traceable history. Decision is designed to help users save time and nerves by providing logical suggestions, organizing thoughts, improving writing, and predicting the best course of action based on past successful decisions.

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.

Baal is an active learning library that supports both industrial applications and research use cases. It provides a framework for Bayesian active learning methods such as Monte-Carlo Dropout, MCDropConnect, Deep ensembles, and Semi-supervised learning. Baal helps in labeling the most uncertain items in the dataset pool to improve model performance and reduce annotation effort. The library is actively maintained by a dedicated team and has been used in various research papers for production and experimentation.

skpro is a library for supervised probabilistic prediction in python. It provides `scikit-learn`-like, `scikit-base` compatible interfaces to: * tabular **supervised regressors for probabilistic prediction** \- interval, quantile and distribution predictions * tabular **probabilistic time-to-event and survival prediction** \- instance-individual survival distributions * **metrics to evaluate probabilistic predictions** , e.g., pinball loss, empirical coverage, CRPS, survival losses * **reductions** to turn `scikit-learn` regressors into probabilistic `skpro` regressors, such as bootstrap or conformal * building **pipelines and composite models** , including tuning via probabilistic performance metrics * symbolic **probability distributions** with value domain of `pandas.DataFrame`-s and `pandas`-like interface

The NZT Poker AI Bot is an advanced tool designed to revolutionize poker gameplay by providing comprehensive features to dominate 17 rooms with the Cash Fish Monitor. It offers detailed analysis of opponents' VPIP and PFR, extensive hand history database, opponent exploitation techniques, data-driven intelligence, player profiles, advanced neural network technology, expert training, continuous refinement, and cutting-edge algorithms for maximizing poker profits. Created by a team of poker experts, this AI tool continuously adapts to the latest poker strategies and utilizes state-of-the-art technology to enhance decision-making prowess.

Text Embeddings Inference (TEI) is a toolkit for deploying and serving open source text embeddings and sequence classification models. TEI enables high-performance extraction for popular models like FlagEmbedding, Ember, GTE, and E5. It implements features such as no model graph compilation step, Metal support for local execution on Macs, small docker images with fast boot times, token-based dynamic batching, optimized transformers code for inference using Flash Attention, Candle, and cuBLASLt, Safetensors weight loading, and production-ready features like distributed tracing with Open Telemetry and Prometheus metrics.

Detoxify is a library that provides trained models and code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification, Unintended Bias in Toxic comments, Multilingual toxic comment classification. It includes models like 'original', 'unbiased', and 'multilingual' trained on different datasets to detect toxicity and minimize bias. The library aims to help in stopping harmful content online by interpreting visual content in context. Users can fine-tune the models on carefully constructed datasets for research purposes or to aid content moderators in flagging out harmful content quicker. The library is built to be user-friendly and straightforward to use.

Weights & Biases (W&B) is a platform that helps users build better machine learning models faster by tracking and visualizing all components of the machine learning pipeline, from datasets to production models. It offers tools for tracking, debugging, evaluating, and monitoring machine learning applications. W&B provides integrations with popular frameworks like PyTorch, TensorFlow/Keras, Hugging Face Transformers, PyTorch Lightning, XGBoost, and Sci-Kit Learn. Users can easily log metrics, visualize performance, and compare experiments using W&B. The platform also supports hosting options in the cloud or on private infrastructure, making it versatile for various deployment needs.

Sports-betting is a Python library for implementing betting strategies and analyzing sports data. It provides tools for collecting, processing, and visualizing sports data to make informed betting decisions. The library includes modules for scraping data from sports websites, calculating odds, simulating betting strategies, and evaluating performance. With sports-betting, users can automate betting processes, test different strategies, and improve their betting outcomes.

Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. It is designed to be easy to get started with and simple to use for Java developers. DJL provides a native Java development experience and allows users to integrate machine learning and deep learning models with their Java applications. The framework is deep learning engine agnostic, enabling users to switch engines at any point for optimal performance. DJL's ergonomic API interface guides users with best practices to accomplish deep learning tasks, such as running inference and training neural networks.

Qwen is a series of large language models developed by Alibaba DAMO Academy. It outperforms the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen models outperform the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen-72B achieves better performance than LLaMA2-70B on all tasks and outperforms GPT-3.5 on 7 out of 10 tasks.

Sports-Betting-ML-Tools-NBA is a repository containing machine learning and market analysis tools for NBA games. It features a game prediction model trained on 20,000+ games with 500+ data points per game, pre-game analysis with player stats, injuries, and Vegas odds, custom model training with configurable parameters, real-time score updates, and performance tracking. Users can analyze player stats, remove injured players, check Vegas odds and injury reports, review last game performance, and generate game score predictions. The repository also allows users to configure model training parameters, monitor training via Tensorboard, track performance metrics like win/loss percentage, spread accuracy, and profit/loss calculations, and access core statistics per player and team metrics.

The 'awesome-AI4MolConformation-MD' repository focuses on protein conformations and molecular dynamics using generative artificial intelligence and deep learning. It provides resources, reviews, datasets, packages, and tools related to AI-driven molecular dynamics simulations. The repository covers a wide range of topics such as neural networks potentials, force fields, AI engines/frameworks, trajectory analysis, visualization tools, and various AI-based models for protein conformational sampling. It serves as a comprehensive guide for researchers and practitioners interested in leveraging AI for studying molecular structures and dynamics.

LitGPT is a command-line tool designed to easily finetune, pretrain, evaluate, and deploy 20+ LLMs **on your own data**. It features highly-optimized training recipes for the world's most powerful open-source large-language-models (LLMs).

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.

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Bolts package provides a variety of components to extend PyTorch Lightning, such as callbacks & datasets, for applied research and production. Users can accelerate Lightning training with the Torch ORT Callback to optimize ONNX graph for faster training & inference. Additionally, users can introduce sparsity with the SparseMLCallback to accelerate inference by leveraging the DeepSparse engine. Specific research implementations are encouraged, with contributions that help train SSL models and integrate with Lightning Flash for state-of-the-art models in applied research.

AI-PhD-S24 is a mono-repo for the PhD course 'AI for Business Research' at CUHK Business School in Spring 2024. The course aims to provide a basic understanding of machine learning and artificial intelligence concepts/methods used in business research, showcase how ML/AI is utilized in business research, and introduce state-of-the-art AI/ML technologies. The course includes scribed lecture notes, class recordings, and covers topics like AI/ML fundamentals, DL, NLP, CV, unsupervised learning, and diffusion models.

Fastc is a tool focused on CPU execution, using efficient models for embedding generation and cosine similarity classification. It allows for efficient multi-classifier execution without extra overhead. Users can easily train text classifiers, export models, publish to HuggingFace, load existing models, make class predictions, use instruct templates, and launch an inference server. The tool provides an HTTP API for text classification with JSON payloads and supports multiple languages for language identification.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.

Bot expert in F1 data analysis and race insights.

提供针对指定日期足球比赛的分析与预测。

Real-time web browsing FPL expert. It analyzes current football match data, player performances, team news, and expert opinions.

Analytical FPL strategist using news, fixtures, and player data.

Your AI football analyst.

Fantasy Football analytics expert for the English Premier League.

Personalized, analytical sports prediction AI.

Want more powerful agents? PMOracle predicts problems & offers real-time solutions. PMSherpa coaches & personalizes project journeys. PMNexus integrates tools for a unified view. PMA uses simulations to craft success. PMC catalyst automates & optimizes, becoming your proactive teammate.

I predict DAU based on growth and retention.

Predict the future, opine on politics and controversial topics, and have GPT assess what is "true"

I predict future stock market prices. AI analyst. Your trading analysis assistant. Press H to bring up prompt hot key menu. Not financial advice.

Analyze Financial Statements step by step to Predict Earnings Direction

Predict fashion trends

AI expert in analyzing historical patterns to predict future events

Does Pool Performance of Elite Triathletes Predict Open-Water Performance?

A moot competition companion. & Trial Prep companion . Test and improve arguments- predict your opponent's reaction.

あなたの顔を予想します

Predicts gender for first names using data

Our college entrance exam prediction app uses advanced algorithms and data analysis to provide accurate predictions for students preparing to take their college entrance exams.

Prédictif des tendances crypto à partir de la presse et des réseaux sociaux