Best AI tools for< Forecaster >

Nextatlas is an AI-powered trend forecasting service that helps businesses understand, innovate, launch, make, and win. It provides data-rich trend prediction built through analysis on the interests and behaviors from the consumers that drive change, experts, and innovators. Nextatlas' AI can quickly be tailored to your specific business challenges and uncover attractive business opportunities. It brings you to findings that represent what will happen in the future, that you cannot know when you begin searching.

The Predict API is a powerful tool that allows you to forecast your data with simplicity and accuracy. It uses the latest advancements in stochastic modeling and machine learning to provide you with reliable projections. The API is easy to use and can be integrated with any application. It is also highly scalable, so you can use it to forecast large datasets. With the Predict API, you can gain valuable insights into your data and make better decisions.

Refabric is an AI-powered design platform at the intersection of AI and fashion design. It offers innovative solutions for the fashion industry by leveraging advanced technologies such as machine learning and data analytics. Refabric helps fashion retailers achieve carbon neutrality, adhere to environmental standards, and transform the way fashion is designed, produced, and consumed. The platform provides trend forecasting, creative support, and sustainability solutions to address the evolving challenges in the global fashion industry.

CropGPT is an AI tool designed for soft commodities, offering a comprehensive platform for crop intelligence, market data, weather reports, and predictive analytics. It provides users with valuable insights and predictions to optimize crop production and mitigate risks. With features like crop reports, risk radar, yield predictions, and market forces analysis, CropGPT empowers users in the agricultural sector to make informed decisions and enhance productivity.

Refabric is an AI-powered fashion design assistant that helps users create designs with generative AI. It offers a range of features to help users create innovative and stylish designs, including AI-generated design ideas, fabric recommendations, and trend forecasting.

Forecast is an AI-powered resource and project management software that helps businesses optimize their resources, plan their projects, and manage their tasks more efficiently. It offers a range of features such as resource management, project management, financial management, artificial intelligence, business intelligence, and reporting, timesheets, and integrations. Forecast is trusted by businesses of all sizes, from small businesses to large enterprises, and has been recognized for its innovation and effectiveness by leading industry analysts.

The Shark Risk Forecast App by SafeWaters.ai is an innovative application that provides 7-day shark risk forecasts for beaches worldwide with 83% accuracy. Utilizing predictive AI technology trained on extensive shark attack and marine weather data, the app aims to enhance beach safety by alerting users to potential risks. In addition to current and future risk forecasts, the app offers features like Shark Spotting Drones Live Feed, Chatbot interaction, and Tagged Shark Tracking for a comprehensive beach safety experience.

Groundsales.ai is an AI-driven sales forecasting tool that empowers businesses to make accurate predictions and optimize sales strategies. By leveraging advanced analytics and scenario modeling, the platform provides real-time insights and trend analysis to help businesses stay ahead in the competitive market. With seamless data integration and a user-friendly interface, Groundsales.ai offers a data-driven evolution for businesses of all sizes, enabling them to make informed decisions and maximize revenue potential.

functime is a time-series machine learning tool designed to perform forecasting at scale. It provides a comprehensive set of functions and resources to assist users in analyzing and evaluating time-series data. With features like scoring, ranking, and plotting functions, functime aims to simplify the process of forecasting and make it accessible to users of all levels of expertise. The tool also offers an API reference for developers looking to integrate time-series forecasting capabilities into their applications.

Salesloft is an AI-powered revenue orchestration platform that guides go-to-market teams to take the right actions for optimal outcomes. It helps in delighting customers, maximizing revenue, and increasing lifetime value. The platform offers solutions for sales engagement, pipeline management, forecasting, buyer engagement, and revenue challenges. Salesloft is trusted by over 5,000 sales teams worldwide to enhance the customer lifecycle, eliminate complexity, and drive predictability in revenue generation.

Venture Planner is an AI-powered platform designed to help users generate professional business plans effortlessly. By answering a series of multiple-choice questions, users can create detailed financial forecasts without the need for typing. The platform is fully bespoke to each user's business, offering automated projections, professional quality plans, and strategy suggestions. With over 50,000 users across 74 industries in 22 countries, Venture Planner leverages cutting-edge AI technology to outpace competitors and provide data-driven insights for informed decision-making.

Streetbeat is an innovative investment platform that simplifies and automates investing activities. It serves as a solution for navigating the complexity of financial markets and deriving actionable insights. Streetbeat offers AI Agents for businesses to automate tasks and enhance client services, while individuals can access an AI-powered financial advisor to manage investments. The platform aims to make investing more accessible and efficient for users.

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.

Fintwit is an AI-powered stock market analysis tool that provides users with stock market quotes, free screener, AI top picks, AI stock analysis, market news, and trading signals. The platform leverages artificial intelligence to offer valuable insights and recommendations to investors and traders. With Fintwit, users can access real-time data, make informed investment decisions, and stay updated on the latest market trends.

ChartPixel is an AI-assisted data analysis platform that empowers users to effortlessly generate charts, insights, and actionable statistics in just 30 seconds. The platform is designed to demystify data and analysis, making it accessible to users of all skill levels. ChartPixel combines the power of AI with domain expertise to provide secure and reliable output, ensuring trustworthy results without compromising data privacy. With user-friendly features and educational tools, ChartPixel helps users clean, wrangle, visualize, and present data with ease, catering to both beginners and professionals.

Stockpulse is an AI-powered platform that analyzes financial news and communities using Artificial Intelligence. It provides decision support for operations by collecting, filtering, and converting unstructured data into processable information. With extensive coverage of financial media sources globally, Stockpulse offers unique historical data, sentiment analysis, and AI-driven insights for various sectors in the financial markets.

FareTrack is an AI-driven data intelligence solution tailored for the modern air travel industry. It offers accurate, timely, and actionable insights for airline revenue management, distribution, and network operations teams. By leveraging advanced AI technology, FareTrack empowers clients with competitive fare tracking, ancillary pricing insights, open pricing monitoring, and price rank value optimization. The platform also provides comprehensive travel data solutions beyond airfare, including tax breakdowns, historical fare analysis, and trend analysis. With customizable dashboards and API integration, FareTrack enables users to make informed decisions swiftly and stay ahead in the dynamic world of air travel.

Capital Companion is an AI-powered trading and investing platform designed to provide users with a competitive edge in the markets. The platform offers a range of features including 24/7 AI assistant support, intelligent trading recommendations, risk analysis tools, real-time stock analytics, market sentiment analysis, and pattern recognition for technical analysis. By leveraging artificial intelligence, Capital Companion aims to help traders make well-informed decisions and protect their investments in a dynamic market environment.

Summarizer AI is a free online tool that simplifies and condenses extensive text documents, articles, or any written content into concise, easily digestible summaries. This cutting-edge artificial intelligence (AI) technology aims to enhance productivity and comprehension by breaking down complex information into its most essential points, making it particularly useful for students, researchers, professionals, and anyone looking to quickly grasp the main ideas of lengthy texts. The platform is user-friendly, emphasizing privacy and security for its users. It enhances reading comprehension by highlighting key terms and facilitates efficient knowledge acquisition without compromising on data confidentiality. Summarizer AI stands out for its versatility, ease of use, and commitment to user privacy, making it an invaluable resource for efficient text analysis and summarization.

Jyotax.ai is an AI-powered tax solution that revolutionizes tax compliance by simplifying the tax process with advanced AI solutions. It offers comprehensive bookkeeping, payroll processing, worldwide tax returns and filing automation, profit recovery, contract compliance, and financial modeling and budgeting services. The platform ensures accurate reporting, real-time compliance monitoring, global tax solutions, customizable tax tools, and seamless data integration. Jyotax.ai optimizes tax workflows, ensures compliance with precise AI tax calculations, and simplifies global tax operations through innovative AI solutions.

LLMs4TS is a repository focused on the application of cutting-edge AI technologies for time-series analysis. It covers advanced topics such as self-supervised learning, Graph Neural Networks for Time Series, Large Language Models for Time Series, Diffusion models, Mixture-of-Experts architectures, and Mamba models. The resources in this repository span various domains like healthcare, finance, and traffic, offering tutorials, courses, and workshops from prestigious conferences. Whether you're a professional, data scientist, or researcher, the tools and techniques in this repository can enhance your time-series data analysis capabilities.

This repository serves as a comprehensive survey on the application of Large Language Models (LLMs) on tabular data, focusing on tasks such as prediction, data generation, and table understanding. It aims to consolidate recent progress in this field by summarizing key techniques, metrics, datasets, models, and optimization approaches. The survey identifies strengths, limitations, unexplored territories, and gaps in the existing literature, providing insights for future research directions. It also offers code and dataset references to empower readers with the necessary tools and knowledge to address challenges in this rapidly evolving domain.

Chronos is a family of pretrained time series forecasting models based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic forecasts are obtained by sampling multiple future trajectories given the historical context. Chronos models have been trained on a large corpus of publicly available time series data, as well as synthetic data generated using Gaussian processes.

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

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

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.

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.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Emerging Trajectories is an open source library for tracking and saving forecasts of political, economic, and social events. It provides a way to organize and store forecasts, as well as track their accuracy over time. This can be useful for researchers, analysts, and anyone else who wants to keep track of their predictions.

The `ai-models` command is a tool used to run AI-based weather forecasting models. It provides functionalities to install, run, and manage different AI models for weather forecasting. Users can easily install and run various models, customize model settings, download assets, and manage input data from different sources such as ECMWF, CDS, and GRIB files. The tool is designed to optimize performance by running on GPUs and provides options for better organization of assets and output files. It offers a range of command line options for users to interact with the models and customize their forecasting tasks.

PyTorch Forecasting is a PyTorch-based package for time series forecasting with state-of-the-art network architectures. It offers a high-level API for training networks on pandas data frames and utilizes PyTorch Lightning for scalable training on GPUs and CPUs. The package aims to simplify time series forecasting with neural networks by providing a flexible API for professionals and default settings for beginners. It includes a timeseries dataset class, base model class, multiple neural network architectures, multi-horizon timeseries metrics, and hyperparameter tuning with optuna. PyTorch Forecasting is built on pytorch-lightning for easy training on various hardware configurations.

Time-LLM is a reprogramming framework that repurposes large language models (LLMs) for time series forecasting. It allows users to treat time series analysis as a 'language task' and effectively leverage pre-trained LLMs for forecasting. The framework involves reprogramming time series data into text representations and providing declarative prompts to guide the LLM reasoning process. Time-LLM supports various backbone models such as Llama-7B, GPT-2, and BERT, offering flexibility in model selection. The tool provides a general framework for repurposing language models for time series forecasting tasks.

Nixtla is a production-ready generative pretrained transformer for time series forecasting and anomaly detection. It can accurately predict various domains such as retail, electricity, finance, and IoT with just a few lines of code. TimeGPT introduces a paradigm shift with its standout performance, efficiency, and simplicity, making it accessible even to users with minimal coding experience. The model is based on self-attention and is independently trained on a vast time series dataset to minimize forecasting error. It offers features like zero-shot inference, fine-tuning, API access, adding exogenous variables, multiple series forecasting, custom loss function, cross-validation, prediction intervals, and handling irregular timestamps.

Skyrim is a weather forecasting tool that enables users to run large weather models using consumer-grade GPUs. It provides access to state-of-the-art foundational weather models through a well-maintained infrastructure. Users can forecast weather conditions, such as wind speed and direction, by running simulations on their own GPUs or using modal volume or cloud services like s3 buckets. Skyrim supports various large weather models like Graphcast, Pangu, Fourcastnet, and DLWP, with plans for future enhancements like ensemble prediction and model quantization.

A catalogue and categorization of AI-based weather forecasting models. This page provides a catalogue and categorization of AI-based weather forecasting models to enable discovery and comparison of different available model options. The weather models are categorized based on metadata found in the JSON schema specification. The table includes information such as the name of the weather model, the organization that developed it, operational data availability, open-source status, and links for further details.

WeatherGFT is a physics-AI hybrid model designed to generalize weather forecasts to finer-grained temporal scales beyond the training dataset. It incorporates physical partial differential equations (PDEs) into neural networks to simulate fine-grained physical evolution and correct biases. The model achieves state-of-the-art performance in forecasting tasks at different time scales, from nowcasting to medium-range forecasts, by utilizing a lead time-aware training framework and a carefully designed PDE kernel. WeatherGFT bridges the gap between nowcast and medium-range forecast by extending forecasting abilities to predict accurately at a 30-minute time scale.

SolarLLMZeroToAll is a comprehensive repository that provides a step-by-step guide and resources for learning and implementing Solar Longitudinal Learning Machines (SolarLLM) from scratch. The repository covers various aspects of SolarLLM, including theory, implementation, and applications, making it suitable for beginners and advanced users interested in solar energy forecasting and machine learning. The materials include detailed explanations, code examples, datasets, and visualization tools to facilitate understanding and practical implementation of SolarLLM models.

CALF (LLaTA) is a cross-modal fine-tuning framework that bridges the distribution discrepancy between temporal data and the textual nature of LLMs. It introduces three cross-modal fine-tuning techniques: Cross-Modal Match Module, Feature Regularization Loss, and Output Consistency Loss. The framework aligns time series and textual inputs, ensures effective weight updates, and maintains consistent semantic context for time series data. CALF provides scripts for long-term and short-term forecasting, requires Python 3.9, and utilizes word token embeddings for model training.

Awesome Large Weather Models (LWMs) is a curated collection of articles and resources related to large weather models used in AI for Earth and AI for Science. It includes information on various cutting-edge weather forecasting models, benchmark datasets, and research papers. The repository serves as a hub for researchers and enthusiasts to explore the latest advancements in weather modeling and forecasting.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

MMA Expert & Trainer

Advanced NFL and parlay predictor with comprehensive analysis

Fun Weather forecaster.

专业预测师，基于用户数据提供预测反馈。

Geopolitical news aggregator and forecaster

Tell me where you are and I'll draw you a nice illustration with the current weather!

I'm friendly, offer weather updates, and engage in small talk.

Genera informazioni in merito alle previsioni meteo per surfisti

Super astronomer identifying clouds in English and Chinese, sharing facts in Chinese.

Your savvy weather pal.

Give me your weather and I will tell you what products to use today!

I transform complex NOAA weather forecasts into easy-to-understand language, educating about weather phenomena.

A mental health self-check tool assessing weather dependency. Powered by WeatherMind

Supportive guide for weather-related challenges, offering emotional and practical advice.

你好，请问您有什么问题要问吗？

预测：方法与实践（第三版） Rob J Hyndman 和 George Athanasopoulos 澳大利亚莫纳什大学

A weather expert that connects to your ACTION for forecasts.

Your expert in meteorology, atmospheric science, and related physics/mathematics.

A travel planning assistant knowledgeable in comparing destinations, weather, and the hidden gems. State your budget ($-$$$$), share your dates and destination – sit back and relax!

A creative assistant for generating visual concepts for new products.