Best AI tools for< Forecast Trends >

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.

Commabot is an online CSV editor that allows users to view, edit, and convert CSV files with the help of an AI-powered assistant. It features an intuitive spreadsheet interface, data operations capabilities, an AI virtual assistant, and transformation and conversion functionalities.

PRIYA is an AI tool designed to assist users in pricing strategies. It utilizes artificial intelligence to provide valuable insights and recommendations for optimizing pricing decisions. With PRIYA, users can access advanced pricing analytics and forecasting capabilities to enhance their pricing strategies and maximize profitability. The tool is user-friendly and intuitive, making it suitable for businesses of all sizes looking to improve their pricing strategies.

Arlunai is an AI-powered platform that offers a wide range of tools and applications for various industries. It utilizes advanced artificial intelligence algorithms to provide users with intelligent solutions for their specific needs. With a user-friendly interface and cutting-edge technology, Arlunai aims to streamline processes, enhance productivity, and drive innovation across different sectors.

Content Butler is an AI-powered platform designed to simplify the creative process for content creators by providing ready-to-use, data-driven scripts. The platform offers a vast script library covering current market trends and future insights, with weekly content refreshes to keep users engaged. Leveraging advanced AI analysis, Content Butler helps users analyze and predict trends, enabling them to create fresh and relevant content. The platform also provides comprehensive script analysis with detailed insights and estimated budgets, empowering users to plan effectively. With features focused on forecasting and shaping future trends, Content Butler puts users ahead in the content creation game.

PandasAI is an open-source AI tool designed for conversational data analysis. It allows users to ask questions in natural language to their enterprise data and receive real-time data insights. The tool is integrated with various data sources and offers enhanced analytics, actionable insights, detailed reports, and visual data representation. PandasAI aims to democratize data analysis for better decision-making, offering enterprise solutions for stable and scalable internal data analysis. Users can also fine-tune models, ingest universal data, structure data automatically, augment datasets, extract data from websites, and forecast trends using AI.

OpenNN is an open-source neural networks library for machine learning that solves real-world applications in energy, marketing, health, and more. It offers sophisticated algorithms for regression, classification, forecasting, and association tasks. OpenNN provides higher capacity for managing bigger data sets and faster training compared to TensorFlow and PyTorch. It is being developed by Artelnics, a consulting company specialized in artificial intelligence and big data. Neural Designer, a software tool developed from OpenNN, helps build neural network models without programming.

Walter Shields Data Academy is an AI-powered platform offering premium training in SQL, Python, and Excel. With over 200,000 learners, it provides curated courses from bestselling books and LinkedIn Learning. The academy aims to revolutionize data expertise and empower individuals to excel in data analysis and AI technologies.

ProdOps is an AI platform for product management that aims to automate and elevate productivity, quality assurance, insight, adaptability, innovation, and speed. It offers features such as productivity amplification, quality assurance, predictive insights, dynamic prioritization, accelerated development, and intelligent collaboration. The application helps in automating routine tasks, reducing errors, forecasting market trends, streamlining development processes, and fostering seamless communication. Customers have reported significant improvements in workflow efficiency and product quality. ProdOps.AI integrates with tools like Jira, Github, and Notion to provide powerful AI-driven solutions for product delivery.

Sana AI is an advanced artificial intelligence tool designed to assist users in various tasks. It utilizes cutting-edge AI algorithms to provide accurate and efficient solutions. The tool is user-friendly and offers a wide range of features to enhance productivity and decision-making processes. Sana AI is suitable for individuals and businesses looking to streamline their operations and improve overall efficiency.

AI Boost is an advanced artificial intelligence tool designed to enhance productivity and efficiency in various tasks. It leverages cutting-edge AI algorithms to provide intelligent solutions for complex problems. With its user-friendly interface and powerful capabilities, AI Boost is suitable for individuals and businesses looking to streamline their operations and make data-driven decisions. Whether you need assistance in data analysis, predictive modeling, or automation, AI Boost offers a comprehensive set of features to meet your needs.

Galaxy.ai is an all-in-one AI platform that offers a wide range of AI tools and applications to streamline and enhance various business processes. From data analysis to predictive modeling, Galaxy.ai provides advanced AI solutions to help businesses make data-driven decisions and improve efficiency. With its user-friendly interface and powerful algorithms, Galaxy.ai is designed to cater to the needs of both small businesses and large enterprises, making AI technology accessible and easy to implement.

Cue is an AI-powered data analytics tool designed to help GTM (Go-To-Market) leaders make informed decisions without the need to be data scientists. It seamlessly embeds data science into organizations, providing measurable growth insights and strategies. Cue offers expert data science, clean data integration, AI-driven analysis, customized GTM solutions, and strategy synthesis. It aims to maximize the value of existing data and people, emphasizing the importance of a solid data foundation for business growth.

PropHunt.ai is an AI-powered platform designed for real estate professionals and property investors. It utilizes advanced machine learning algorithms to analyze property data and provide valuable insights for property hunting and investment decisions. The platform offers features such as property price prediction, neighborhood analysis, investment risk assessment, property comparison, and market trend forecasting. With PropHunt.ai, users can make informed decisions, optimize their property investments, and stay ahead in the competitive real estate market.

LLMsForTimeSeries is a repository that questions the usefulness of language models in time series forecasting. The work shows that simple baselines outperform most language model-based time series forecasting models. It includes ablation studies on LLM-based TSF methods and introduces the PAttn method, showcasing the performance of patching and attention structures in forecasting. The repository provides datasets, setup instructions, and scripts for running ablations on different datasets.

LLM-PlayLab is a repository containing various projects related to LLM (Large Language Models) fine-tuning, generative AI, time-series forecasting, and crash courses. It includes projects for text generation, sentiment analysis, data analysis, chat assistants, image captioning, and more. The repository offers a wide range of tools and resources for exploring and implementing advanced AI techniques.

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.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

Awesome-TimeSeries-SpatioTemporal-LM-LLM is a curated list of Large (Language) Models and Foundation Models for Temporal Data, including Time Series, Spatio-temporal, and Event Data. The repository aims to summarize recent advances in Large Models and Foundation Models for Time Series and Spatio-Temporal Data with resources such as papers, code, and data. It covers various applications like General Time Series Analysis, Transportation, Finance, Healthcare, Event Analysis, Climate, Video Data, and more. The repository also includes related resources, surveys, and papers on Large Language Models, Foundation Models, and their applications in AIOps.

The Microsoft AI for Earth program hosts geospatial data on Azure that is important to environmental sustainability and Earth science. This repo hosts documentation and demonstration notebooks for all the data that is managed by AI for Earth. It also serves as a "staging ground" for the Planetary Computer Data Catalog.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

ModelScope-Agent is a customizable and scalable Agent framework. A single agent has abilities such as role-playing, LLM calling, tool usage, planning, and memory. It mainly has the following characteristics: - **Simple Agent Implementation Process**: Simply specify the role instruction, LLM name, and tool name list to implement an Agent application. The framework automatically arranges workflows for tool usage, planning, and memory. - **Rich models and tools**: The framework is equipped with rich LLM interfaces, such as Dashscope and Modelscope model interfaces, OpenAI model interfaces, etc. Built in rich tools, such as **code interpreter**, **weather query**, **text to image**, **web browsing**, etc., make it easy to customize exclusive agents. - **Unified interface and high scalability**: The framework has clear tools and LLM registration mechanism, making it convenient for users to expand more diverse Agent applications. - **Low coupling**: Developers can easily use built-in tools, LLM, memory, and other components without the need to bind higher-level agents.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

Transformers_And_LLM_Are_What_You_Dont_Need is a repository that explores the limitations of transformers in time series forecasting. It contains a collection of papers, articles, and theses discussing the effectiveness of transformers and LLMs in this domain. The repository aims to provide insights into why transformers may not be the best choice for time series forecasting tasks.

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.

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.

PyTorch Forecasting is a PyTorch-based package designed for state-of-the-art timeseries forecasting using deep learning architectures. It offers a high-level API and leverages PyTorch Lightning for efficient training on GPU or CPU with automatic logging. The package aims to simplify timeseries forecasting tasks by providing a flexible API for professionals and user-friendly defaults for beginners. It includes features such as a timeseries dataset class for handling data transformations, missing values, and subsampling, various neural network architectures optimized for real-world deployment, multi-horizon timeseries metrics, and hyperparameter tuning with optuna. Built on pytorch-lightning, it supports training on CPUs, single GPUs, and multiple GPUs out-of-the-box.

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.

I am an oracle of futures, inspired by Jim Dator's methods.

Asistente experto en Econometría

FinWiz-GPT is designed for finance professionals. It assists in market analysis, financial modeling, and understanding complex financial instruments. It's a great tool for financial analysts, investment bankers, and accountants.

AI Cash Assistant for Enterprise

I assist with urban management tasks.

Microsoft Dynamics 365 Business Central Genius powered by ANEGIS

Freak in the Sheets!

Geopolitical news aggregator and forecaster

One Economic Insight at a Time, I Unleash Curiosity, Inspired by Per L. Bylund (I sometimes hallucinate about Keynes... Sorry Per!)

Expert economist with access to real-time data.

Especialista em Demografia baseado em dados brasileiros

清华大学级别的经济数学建模中文教师。

Expert in macroeconomics, providing holistic and system-wide insights.

Economist panel of Smith, Marx, Schumpeter, Hayek, Friedman, and Keynes in debate.

Gann Theory expert with data analysis and user input processing.

Your compass in India's Economic Terrain. Expert on India's economic landscape, integrating latest insights and data. Disclaimer: https://www.elixirequities.com/disclaimers

Data analysis and insight tool for SMEs.

Expert in marketing research, with a clever twist on its origins.

Analyzing export industries with detailed, historical, and global insights.

A strategic AI for simulating market scenarios and offering business insights.