Best AI tools for< Time Series Forecasting >

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.

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.

Rerun is an SDK, time-series database, and visualizer for temporal and multimodal data. It is used in fields like robotics, spatial computing, 2D/3D simulation, and finance to verify, debug, and explain data. Rerun allows users to log data like tensors, point clouds, and text to create streams, visualize and interact with live and recorded streams, build layouts, customize visualizations, and extend data and UI functionalities. The application provides a composable data model, dynamic schemas, and custom views for enhanced data visualization and analysis.

Keras is an open-source deep learning API written in Python, designed to make building and training deep learning models easier. It provides a user-friendly interface and a wide range of features and tools to help developers create and deploy machine learning applications. Keras is compatible with multiple frameworks, including TensorFlow, Theano, and CNTK, and can be used for a variety of tasks, including image classification, natural language processing, and time series analysis.

Gradio is a tool that allows users to quickly and easily create web-based interfaces for their machine learning models. With Gradio, users can share their models with others, allowing them to interact with and use the models remotely. Gradio is easy to use and can be integrated with any Python library. It can be used to create a variety of different types of interfaces, including those for image classification, natural language processing, and time series analysis.

RunwayML Experiments is a platform that allows users to create and share machine learning models. It provides a variety of tools and resources to help users get started with machine learning, including a library of pre-trained models, a visual programming interface, and a community of experts. RunwayML Experiments is used by a variety of people, including researchers, students, and hobbyists.

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.

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.

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.

PodPilot is an AI-powered platform that enables organizations to effortlessly create high-quality podcast series by leveraging artificial intelligence technology. Users can input their organization's website URL and specify topics for investigation, allowing the AI to curate relevant information and generate unique podcast content. With just one click, users can publish their podcasts on popular platforms like Spotify, Apple Podcasts, and Google Podcasts. PodPilot offers different subscription plans tailored to varying podcasting needs, providing options for monthly podcast frequency, episode duration, and watermark removal.

My Pitch Deck is an AI-powered platform that helps startups create custom pitch decks. With just a few clicks, you can generate a 10-slide pitch deck tailored to your specific needs. Our AI will ask you a series of questions about your startup, and then use that information to create a deck that is both informative and persuasive. In addition to the pitch deck, you'll also receive a list of 15 investor questions that you can expect to be asked, as well as 10 personal tips and tricks to help you nail your pitch. My Pitch Deck is the perfect tool for startups who want to save time and create a professional-looking pitch deck that will help them raise funding.

The website is dedicated to Reeflex, a brand offering a range of high-quality lenses, filters, and accessories for mobile photography enthusiasts. Reeflex aims to enhance creativity and transform iPhones into powerful tools for content creation. The G-Series Collection features advanced lenses and filters designed to capture stunning images and videos. The website also offers iOS camera apps like Reeflex Pro Camera, ReeXpose, ReeHeld, and ReeLapse, providing users with professional-grade photography and videography tools. With a focus on innovation and quality, Reeflex is committed to providing users with the best tools for mobile photography.

Outfindo is a product selection guide that uses AI to help customers find the right product for their needs. It is a cloud-based solution that can be integrated with any website. Outfindo uses a series of questions to help customers narrow down their choices and find the perfect product. It also provides detailed product information and recommendations to help customers make informed decisions.

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.

OpenAI01.net is an AI tool that offers free usage with some limitations. It provides a new series of AI models designed to spend more time thinking before responding, capable of reasoning through complex tasks and solving harder problems in science, coding, and math. Users can ask questions and get answers for free, with the option to select different models based on credits. The tool excels in complex reasoning tasks and has shown impressive performance in various benchmarks.

15minuteplan.ai is a cutting-edge AI Business Plan Generator that enables entrepreneurs to create professional business plans in under 15 minutes. The tool simplifies the process by guiding users through a series of questions and leveraging advanced language models like GPT-3.5 and GPT-4 to generate comprehensive plans. It caters to entrepreneurs seeking investor funding, bank loans, or simply looking to create a business plan for various purposes. The AI tool is designed to save time and effort by providing quick and efficient solutions for business planning.

Xpression Camera is a real-time generative AI app that allows users to transform into anyone or anything with a face with a single photo, without any processing time. It enables users to redefine their onscreen persona in real-time while chatting on apps like Zoom, live streaming on Twitch, or creating a YouTube video. With Xpression Camera, users have complete control over their persona with one click, as it reflects facial expressions on any photo in real-time to create content, including videos, GIFs, memes, and more. Images can be from the web, camera roll, or social media. Users can become any image with a face, including pictures, paintings, stuffed animals, dolls, artwork, comics, cartoons, sculptures, illustrations, pets, or a star in a movie or TV clip. Additionally, users can change their appearance or background instantaneously and video chat without a webcam using the Voice2Face technology, which animates the user's image on screen while they are off camera. Xpression Camera also serves as a creator platform, supporting an array of meme, gif, cinematic, and social content generators, from image and video sourcing to creation, with professional tools that help produce original content to share with others. It maintains complete privacy by changing the image on the screen, eliminating worries of accidentally exposing true identities online.

HeyPat.AI is an AI-powered chat application that allows users to chat with PAT in multiple languages including English, Français, Español, Русский, and 中文. Users can get instant answers on news, sports scores, recipes, travel plans, fitness routines, and more directly from their favorite messaging apps. PAT serves as a real-time AI Assistant providing insights and companionship to users.

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.

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.

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.

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.

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.

LABO is a time series forecasting and analysis framework that integrates pre-trained and fine-tuned LLMs with multi-domain agent-based systems. It allows users to create and tune agents easily for various scenarios, such as stock market trend prediction and web public opinion analysis. LABO requires a specific runtime environment setup, including system requirements, Python environment, dependency installations, and configurations. Users can fine-tune their own models using LABO's Low-Rank Adaptation (LoRA) for computational efficiency and continuous model updates. Additionally, LABO provides a Python library for building model training pipelines and customizing agents for specific tasks.

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.

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.

This repository contains a collection of AI projects covering various areas of machine learning. Each project is accompanied by detailed articles on the associated blog sciblog. Projects range from introductory topics like Convolutional Neural Networks and Transfer Learning to advanced topics like Fraud Detection and Recommendation Systems. The repository also includes tutorials on data generation, distributed training, natural language processing, and time series forecasting. Additionally, it features visualization projects such as football match visualization using Datashader.

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.

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.

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.

A curated list of data science & AI guided projects to start building your portfolio. The repository contains guided projects covering various topics such as large language models, time series analysis, computer vision, natural language processing (NLP), and data science. Each project provides detailed instructions on how to implement specific tasks using different tools and technologies.

Awesome Mamba is a curated collection of groundbreaking research papers and articles on Mamba Architecture, a pioneering framework in deep learning known for its selective state spaces and efficiency in processing complex data structures. The repository offers a comprehensive exploration of Mamba architecture through categorized research papers covering various domains like visual recognition, speech processing, remote sensing, video processing, activity recognition, image enhancement, medical imaging, reinforcement learning, natural language processing, 3D recognition, multi-modal understanding, time series analysis, graph neural networks, point cloud analysis, and tabular data handling.

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.

Burr is a Python library and UI that makes it easy to develop applications that make decisions based on state (chatbots, agents, simulations, etc...). Burr includes a UI that can track/monitor those decisions in real time.

PyTorch Lightning is a framework for training and deploying AI models. It provides a high-level API that abstracts away the low-level details of PyTorch, making it easier to write and maintain complex models. Lightning also includes a number of features that make it easy to train and deploy models on multiple GPUs or TPUs, and to track and visualize training progress. PyTorch Lightning is used by a wide range of organizations, including Google, Facebook, and Microsoft. It is also used by researchers at top universities around the world. Here are some of the benefits of using PyTorch Lightning: * **Increased productivity:** Lightning's high-level API makes it easy to write and maintain complex models. This can save you time and effort, and allow you to focus on the research or business problem you're trying to solve. * **Improved performance:** Lightning's optimized training loops and data loading pipelines can help you train models faster and with better performance. * **Easier deployment:** Lightning makes it easy to deploy models to a variety of platforms, including the cloud, on-premises servers, and mobile devices. * **Better reproducibility:** Lightning's logging and visualization tools make it easy to track and reproduce training results.

A curated list of Machine Learning (ML) and Generative AI (GenAI) packages and resources for the Elixir programming language. It includes core tools for data exploration, traditional machine learning algorithms, deep learning models, computer vision libraries, generative AI tools, livebooks for interactive notebooks, and various resources such as books, videos, and articles. The repository aims to provide a comprehensive overview for experienced Elixir developers and ML/AI practitioners exploring different ecosystems.

The collection of pre-trained, state-of-the-art AI models. ailia SDK is a self-contained, cross-platform, high-speed inference SDK for AI. The ailia SDK provides a consistent C++ API across Windows, Mac, Linux, iOS, Android, Jetson, and Raspberry Pi platforms. It also supports Unity (C#), Python, Rust, Flutter(Dart) and JNI for efficient AI implementation. The ailia SDK makes extensive use of the GPU through Vulkan and Metal to enable accelerated computing. # Supported models 323 models as of April 8th, 2024

Prophet model expert, professional yet approachable, seeks clarification

Stock time-series data analysis

Generate synthetic timeseries data

Time Travel Expert, blending science and imagination. Ask me anything about Time Travel, including movies, books or series.

Take on 'Shadow's Secret,' a text-based role-playing game where you unravel the mysterious death of an artist with just 15 critical questions. Each inquiry brings you a step closer to the truth - can you solve the puzzle?

You are a life guide following 50 golden principles according to Suits series

2050年の世界を覗いてみましょう。

Elegantly designed to seamlessly adapt your schedule across multiple time zones.

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 :)

An ADHD-focused daily planner and motivational guide.

International Time Zone Meeting Planner / Converter (independently verify info received). Meet your AI assistant for managing international time zones, specializing in coordinating meetings & events across different regions. Effortlessly plan & visualize physical & digital global engagements.

I'm like a time machine, offering vivid journeys through time with accurate details.

Navigate your leadership journey with historical insights

Explore alternative outcomes of historical events

Schedules music events with integrated rehearsals.

Exploring time tracking.

Educational guide on time zones and global timekeeping.

A creative historian who recreates past cities and civilizations visually.

Friendly helper for easy time zone conversions and scheduling.

I add a time stamp to each message, and provide diverse information.