Best AI tools for< Analyze Time Series Data >

CEBRA is a machine-learning method that compresses time series data to reveal hidden structures in the variability of the data. It excels in analyzing behavioral and neural data simultaneously, allowing for the decoding of activity from the visual cortex of the mouse brain to reconstruct viewed videos. CEBRA is a novel encoding method that leverages both behavioral and neural data to produce consistent and high-performance latent spaces, enabling the mapping of space, uncovering complex kinematic features, and providing rapid, high-accuracy decoding of natural movies from the visual cortex.

Cartesia Sonic Team Blog Research Playground is an AI application that offers real-time multimodal intelligence for every device. The application aims to build the next generation of AI by providing ubiquitous, interactive intelligence that can run on any device. It features the fastest, ultra-realistic generative voice API and is backed by research on simple linear attention language models and state-space models. The founding team, who met at the Stanford AI Lab, has invented State Space Models (SSMs) and scaled it up to achieve state-of-the-art results in various modalities such as text, audio, video, images, and time-series data.

functime is a time-series machine learning tool designed to perform forecasting tasks at scale. It provides a comprehensive set of functions and features to help users analyze and compare trends, seasonality, and causal factors in their forecasts. With easy installation via pip, detailed documentation, and a user-friendly tutorial, functime is suitable for both beginners and experienced users in the field of machine learning. The tool offers evaluation procedures for scoring, ranking, and plotting thousands of forecasts simultaneously, making it a valuable asset for data analysts and forecast analysts.

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.

DiveDeepAI is a machine learning company in Canada that offers end-to-end customized solutions using emerging technologies in machine learning and artificial intelligence. They provide services such as NLP processing, sentiment analysis, computer vision, predictive analysis, audio analysis, time series analysis, conversational AI, and more. DiveDeepAI aims to build trust with clients, deliver top-quality results, and provide innovative solutions tailored to startups and enterprises.

Apache MXNet is a flexible and efficient deep learning library designed for research, prototyping, and production. It features a hybrid front-end that seamlessly transitions between imperative and symbolic modes, enabling both flexibility and speed. MXNet also supports distributed training and performance optimization through Parameter Server and Horovod. With bindings for multiple languages, including Python, Scala, Julia, Clojure, Java, C++, R, and Perl, MXNet offers wide accessibility. Additionally, it boasts a thriving ecosystem of tools and libraries that extend its capabilities in computer vision, NLP, time series, and more.

Chaplin is a 100% free AI-based technical analysis tool that offers a wide range of features for stock market analysis. It provides tools for live market analysis, stock, forex, and crypto screening, stock and chart analysis, sentiment analysis, trend prediction, price forecasting, and various strategy simulations. Users can access advanced stock analysis tools, stock scanners, time series analysis, and more. Chaplin also includes tools for portfolio optimization, earnings calendar tracking, financial analysis, investment calculation, and data visualization. The platform aims to assist professional traders with AI-driven insights and tools for making informed investment decisions.

Dale on AI is a website dedicated to providing insightful articles and guides on various topics related to artificial intelligence, machine learning, and deep learning. The website covers a wide range of subjects, from practical tutorials on building AI-powered applications to in-depth explanations of cutting-edge AI technologies. With a focus on making complex AI concepts accessible to developers and enthusiasts, Dale on AI serves as a valuable resource for anyone interested in exploring the world of artificial intelligence.

Easify AI is an intelligent data analytics tool that serves as an extension of your team. It allows you to connect your databases, query data using natural language, visualize results, and make informed decisions based on real-time insights. The tool is designed to ensure data protection, security, and compliance with GDPR regulations, offering customized AI solutions to meet your business objectives.

AI Just Works is an AI-powered platform that showcases a variety of AI applications across different domains such as financial research, job search, creative tools, game, credit card management, text analytics, product development, sales demos, screen time management, data integration, trip planning, education, health & fitness, movie discovery, AI collaboration, and more. The platform serves as a hub for users to explore and discover innovative AI tools to enhance productivity and efficiency in various tasks and industries.

VideoInsights.ai is an AI-powered platform that serves as your AI assistant for media analysis. It allows users to analyze media content in real-time and gain valuable insights through lightning-fast, conversational analysis. The platform offers powerful features such as chat with videos, visual analysis, uploading and managing audio/video files, analyzing YouTube videos, and integrating analysis features via API. VideoInsights GPT provides a conversational interface to intuitively analyze audio and visual content, enhancing the overall media experience.

Prospero.ai is a free AI investing application that serves as an AI stock picker tool, providing real-time insights and analysis to help users make confident investment decisions. The app leverages AI-powered analysis to offer signal-driven stock picks, trend recognition, and market sentiment analysis based on vast institutional data and market movements. Prospero.ai aims to simplify research and validate analysis by combining millions of data points into key signals, helping users identify short-term and long-term winners in the stock market.

MySocialPulse is an AI tool that serves as the Emotion Barometer, providing insights into emotional sentiments of customers, consumers, employees, and the wider population. It offers real-time data analysis to help businesses adjust marketing campaigns on the fly. The tool is designed to unleash the power of Emotional Intelligence Compliance, Stocks & Crypto Intelligence, and Human Intelligence. MySocialPulse enables users to access social pulse data immediately, offering deep insights and emotional sentiments at the heart of the data.

Cryptoo Bull is an AI-powered platform that serves as a comprehensive resource for all things related to cryptocurrency and blockchain. It offers a wide range of tools, expert insights, news, and analysis to empower users in their trading endeavors. With real-time data, powerful analysis, and cutting-edge AI tools, Cryptoo Bull aims to revolutionize the way users engage with the crypto market.

Entera is an advanced residential real estate investment platform that enables investors to find, buy, and operate single-family homes at scale. Fueled by AI and full-service transaction services, Entera serves operators, funds, agents, and builders by providing access to on and off-market homes, real-time market data, analytics tools, and expert services. The platform modernizes the real estate buying process, helping clients make data-driven investment decisions, scale their operations, and maximize success.

ScreenApp is an AI-powered tool that serves as a notetaker, transcription tool, summarizer, and recorder for audio and video content. It offers a wide range of features to help users efficiently manage their recordings and meetings. ScreenApp is designed to capture and convert recordings into actionable insights, making it a valuable assistant for various tasks and industries.

Proddy.io is an AI-powered product development assistant that serves as a co-pilot to boost productivity and save time. It offers expert guidance in product management best practices, turning basic instructions into formal documentation. The platform enables users to create product briefs, write user stories, generate release notes, and analyze customer feedback efficiently.

AI Lime is an AI-powered document analysis and chat application designed to provide legal, academic, and business solutions. It allows users to upload files, ask questions, and receive instant answers through natural chat conversations. The tool leverages top-tier AI models to help professionals and individuals work with documents more efficiently. AI Lime serves as a legal assistant, research and academic helper, and personal AI assistant for various document-related tasks. It is continuously improving with upcoming features like automatic document summaries and Word document support.

REDnote Translate is a free AI translation tool designed for social media users, particularly those on the REDnote platform. It enables seamless content sharing and discovery across languages, offering advanced AI-powered translation technology to preserve nuance and context in over 100 languages. The tool serves as a cultural bridge, connecting diverse communities worldwide while maintaining authentic cultural expression through smart adaptation. REDnote Translate aims to provide a user-friendly interface with features tailored for REDnote users, allowing for accurate translation of text and images, real-time content translation, image and meme translation, cross-cultural analytics, and community translation.

SmiliMedia is an AI-powered video editing tool that helps users transform long videos into short, engaging clips optimized for social media. With SmiliMedia, users can quickly and easily create high-quality short videos that are perfect for capturing attention and driving engagement on platforms like TikTok, Instagram, and YouTube. SmiliMedia's AI technology automatically analyzes videos to identify the most engaging moments and creates a series of short clips that are sure to resonate with viewers.

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.

The Vector Cookbook is a collection of recipes and sample application starter kits for building AI applications with LLMs using PostgreSQL and Timescale Vector. Timescale Vector enhances PostgreSQL for AI applications by enabling the storage of vector, relational, and time-series data with faster search, higher recall, and more efficient time-based filtering. The repository includes resources, sample applications like TSV Time Machine, and guides for creating, storing, and querying OpenAI embeddings with PostgreSQL and pgvector. Users can learn about Timescale Vector, explore performance benchmarks, and access Python client libraries and tutorials.

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.

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.

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.

MyScaleDB is a SQL vector database optimized for AI applications, enabling developers to manage and process massive volumes of data efficiently. It offers fast and powerful vector search, filtered search, and SQL-vector join queries, making it fully SQL-compatible. MyScaleDB provides unmatched performance and scalability by leveraging cutting-edge OLAP database architecture and advanced vector algorithms. It is production-ready for AI applications, supporting structured data, text, vector, JSON, geospatial, and time-series data. MyScale Cloud offers fully-managed MyScaleDB with premium features on billion-scale data, making it cost-effective and simpler to use compared to specialized vector databases. Built on top of ClickHouse, MyScaleDB combines structured and vector search efficiently, ensuring high accuracy and performance in filtered search operations.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

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.

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

hongbomiao.com is a personal research and development (R&D) lab that facilitates the sharing of knowledge. The repository covers a wide range of topics including web development, mobile development, desktop applications, API servers, cloud native technologies, data processing, machine learning, computer vision, embedded systems, simulation, database management, data cleaning, data orchestration, testing, ops, authentication, authorization, security, system tools, reverse engineering, Ethereum, hardware, network, guidelines, design, bots, and more. It provides detailed information on various tools, frameworks, libraries, and platforms used in these domains.

KDB.AI is a time-based vector database that allows developers to build scalable, reliable, and real-time applications by providing advanced search, recommendation, and personalization for Generative AI applications. It supports multiple index types, distance metrics, top-N and metadata filtered retrieval, as well as Python and REST interfaces. The repository contains samples demonstrating various use-cases such as temporal similarity search, document search, image search, recommendation systems, sentiment analysis, and more. KDB.AI integrates with platforms like ChatGPT, Langchain, and LlamaIndex. The setup steps require Unix terminal, Python 3.8+, and pip installed. Users can install necessary Python packages and run Jupyter notebooks to interact with the samples.

MyScaleDB is a SQL vector database designed for scalable AI applications, enabling developers to efficiently manage and process massive volumes of data using familiar SQL. It offers fast and efficient vector search, filtered search, and SQL-vector join queries. MyScaleDB is fully SQL-compatible and production-ready for AI applications, providing unmatched performance and scalability through cutting-edge OLAP architecture and advanced vector algorithms. Built on top of ClickHouse, it combines structured and vectorized data management for high accuracy and speed in filtered searches.

geoai is a Python package designed for utilizing Artificial Intelligence (AI) in the context of geospatial data. It allows users to visualize various types of geospatial data such as vector, raster, and LiDAR data. Additionally, the package offers functionalities for segmenting remote sensing imagery using the Segment Anything Model and classifying remote sensing imagery with deep learning models. With a focus on geospatial AI applications, geoai provides a versatile tool for processing and analyzing spatial data with the power of AI.

Daily-DeepLearning is a repository that covers various computer science topics such as data structures, operating systems, computer networks, Python programming, data science packages like numpy, pandas, matplotlib, machine learning theories, deep learning theories, NLP concepts, machine learning practical applications, deep learning practical applications, and big data technologies like Hadoop and Hive. It also includes coding exercises related to '剑指offer'. The repository provides detailed explanations and examples for each topic, making it a comprehensive resource for learning and practicing different aspects of computer science and data-related fields.

mlcourse.ai is an open Machine Learning course by OpenDataScience (ods.ai), led by Yury Kashnitsky (yorko). The course offers a perfect balance between theory and practice, with math formulae in lectures and practical assignments including Kaggle Inclass competitions. It is currently in a self-paced mode, guiding users through 10 weeks of content covering topics from Pandas to Gradient Boosting. The course provides articles, lectures, and assignments to enhance understanding and application of machine learning concepts.

Awesome-Colorful-LLM is a meticulously assembled anthology of vibrant multimodal research focusing on advancements propelled by large language models (LLMs) in domains such as Vision, Audio, Agent, Robotics, and Fundamental Sciences like Mathematics. The repository contains curated collections of works, datasets, benchmarks, projects, and tools related to LLMs and multimodal learning. It serves as a comprehensive resource for researchers and practitioners interested in exploring the intersection of language models and various modalities for tasks like image understanding, video pretraining, 3D modeling, document understanding, audio analysis, agent learning, robotic applications, and mathematical research.

Prophet model expert, professional yet approachable, seeks clarification

Stock time-series data analysis

Generate synthetic timeseries data

I turn Toggl data into insightful visuals. Get your data from Settings (in Toggl Track) -> Data Export -> Export Time Entries. Ask for bonus analyses and plots :)

Exploring time tracking.

Map or simulate a scenario real time analyze probability of a life event coming true based on circumstances

Assisting tutor for distributed real-time systems, engaging with questions and explanations.

Analyzes code for time and memory complexity

Search and analyze Government of Canada departmental expenditures and full time employees, by program. Connected to Government of Canada API.

Please upload an image of a book you love, and I will analyze your taste to recommend other great reads. Plus, engage in fascinating discussions about these books. It's time for exploring and talking about books!

Technical analyst backed with 1W-1D-4H refreshed financial market data. For more timeframes and granularity please check our website.

companies, trends, tech and data

Advanced Real-Time Market Data Analysis AI Trader Incubator Professional Trading Trainer

Expert in real-time web content retrieval and analysis

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

Save time by analyzing what SEO issues you should fix.

A virtual time machine delving into texts with rich detail.

Your real-time web-savvy digital marketing advisor.

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

Advanced sports analyst with real-time data and interactive features