Tag: data science

Runcell is an AI agent that understands your notebook, writes code, and executes cells, letting you focus on insights. It improves the efficiency of data science workflows and saves users time and energy.

DeepSeek-Prover-V2-671B is an advanced artificial intelligence model designed to provide powerful inference capabilities. It is based on the latest technology and suitable for a variety of application scenarios. This model is open source and aims to promote the democratization and popularization of artificial intelligence technology, lower technical barriers, and enable more developers and researchers to use AI technology to innovate. By using this model, users can improve their work efficiency and promote the progress of various projects.

Fin-R1 is a large-scale language model designed specifically for the financial field to improve financial reasoning capabilities. Jointly developed by Shanghai University of Finance and Economics and Caiyue Xingchen, it is based on Qwen2.5-7B-Instruct for fine-tuning and reinforcement learning. It has efficient financial reasoning capabilities and is suitable for core financial scenarios such as banks and securities. The model is free and open source, making it easy for users to use and improve.

Pruna is a model optimization framework designed for developers. Through a series of compression algorithms, such as quantization, pruning and compilation technologies, it makes machine learning models faster, smaller and less computationally expensive during inference. The product is suitable for a variety of model types, including LLMs, visual converters, etc., and supports multiple platforms such as Linux, MacOS, and Windows. Pruna also provides the enterprise version Pruna Pro, which unlocks more advanced optimization features and priority support to help users improve efficiency in practical applications.

This product is an AI-driven data science team model designed to help users complete data science tasks faster. It automates and accelerates data science workflows through a series of professional data science agents (Agents), such as data cleaning, feature engineering, modeling, etc. The main advantage of this product is that it can significantly improve the efficiency of data science work and reduce manual intervention. It is suitable for enterprises and research institutions that need to quickly process and analyze large amounts of data. The product is currently in the Beta stage and is under active development, and there may be breakthrough changes. It adopts the MIT license, and users can use and contribute code for free on GitHub.

vectrix-graphs is a powerful graphics library focused on the visualization of multi-model embeddings. It supports a variety of machine learning models and data types, and can display complex data structures in intuitive graphical form. The main advantage of this library is its flexibility and extensibility, which can be easily integrated into existing data science workflows. The vectrix-ai team developed this library to help researchers and developers better understand and analyze model embedding results. As an open source project, it's available for free on GitHub and is suitable for projects and teams of all sizes.

Zasper is an integrated development environment (IDE) designed for data science. It is designed from the ground up to support large-scale concurrent processing, with a minimal memory footprint, excellent speed, and the ability to handle a large number of concurrent connections. It is ideal for running REPL-style data applications like Jupyter notebooks. The main advantages of Zasper are its efficient concurrent processing capabilities and lightweight resource usage, making it of great application value in the field of data science. Currently, Zasper provides an open source version suitable for use by data scientists and developers.

Countless.dev is a platform that provides AI model comparison, where users can easily view and compare different AI models. This tool is very important for developers and researchers as it helps them choose the most suitable AI model based on the model’s characteristics and price. The platform provides detailed model parameters, such as input length, output length, price, etc., and whether it supports visual functions.

ChatGPT Pro is a $200-per-month product from OpenAI that provides scaled access to OpenAI’s most advanced models and tools. The plan includes unlimited access to OpenAI o1 models, as well as o1-mini, GPT-4o and advanced speech features. o1 pro mode is a version of o1 that uses more computing resources to think deeper and provide better answers, especially when solving the most difficult problems. ChatGPT Pro is designed to help researchers, engineers, and other individuals who use research-grade intelligence on a daily basis be more productive and stay at the forefront of artificial intelligence advancements.

GenCast is a new high-resolution (0.25°) AI ensemble model developed by Google DeepMind that is more accurate than the European Center for Medium-Range Weather Forecasts (ECMWF)'s ENS system in predicting daily weather and extreme weather events, providing faster and more accurate forecasts up to 15 days in advance. This model is based on the diffusion model, which is a type of generative AI model that has recently made rapid progress in image, video and music generation. GenCast learns global weather patterns by analyzing historical weather data and can accurately generate complex probability distributions of future weather scenarios. The model's code, weights, and predictions will be publicly released to support the broader weather forecasting community.

Pyramid Analytics is a business decision intelligence platform that helps enterprises achieve fast and effective decision-making by integrating data preparation, business analysis and data science. The platform leverages AI-enhanced analytics, automation and collaborative insights to simplify and guide the use of data in the decision-making process, lowering skill barriers and accelerating the integration of smarter decisions within the organization. Pyramid Analytics provides business users with a self-service experience with its intuitive user experience and no-code platform, while providing enterprises with powerful management and governance capabilities to ensure everyone can make decisions without compromise.

Marimo is an open source Python reactive notebook that is reproducible, git-friendly, executable as a script, and shareable as an application. It responds to cell changes by automatically running affected cells, eliminating the tedious work of managing notebook state. Marimo's UI elements such as data frame GUIs and charts make data processing fast, futuristic and intuitive. Marimo notebooks are stored as .py files and can be used with git version control, run as Python scripts, or import symbols into other notebooks or Python files and lint or format them using your favorite tools. All in a modern, AI-powered editor.

Graphusion is a pipeline tool for extracting knowledge graph triples from text. It builds a knowledge graph through a series of steps, including concept extraction, candidate triple extraction, and triple fusion. The importance of this tool lies in its ability to help researchers and developers automate the extraction of structured information from large amounts of textual data to support knowledge management and data science projects. The main advantages of Graphusion include its automated processing capabilities, adaptability to different data sets, and flexible configuration options. Product background information shows that Graphusion was developed by tdurieux, and relevant code and documentation can be found on GitHub. Currently, the tool is free, but specific pricing strategies may change based on updates and maintenance by developers.

DataChain is a modern Python data frame library designed for artificial intelligence. It is designed to organize unstructured data into datasets and process the data at scale on local machines. DataChain does not abstract or hide AI models and API calls, but helps integrate them into postmodern data stacks. With its main advantages of efficiency, ease of use and powerful data processing capabilities, this product supports a variety of data storage and processing methods, including images, videos, text and other data types, and can be seamlessly connected with deep learning frameworks such as PyTorch and TensorFlow. DataChain is open source, follows the Apache-2.0 license agreement, and is free for users to use.

awesome-LLM-resourses is a platform that aggregates global large language model (LLM) resources, providing a series of resources and tools from data acquisition, fine-tuning, reasoning, evaluation to practical applications. Its importance lies in providing researchers and developers with a comprehensive resource library so that they can develop and optimize their language models more efficiently. The platform is maintained by Wang Rongsheng and continuously updated, providing strong support for the development of the LLM field.

DeepLearning.AI is an online education platform founded by well-known artificial intelligence expert Andrew Ng. It focuses on providing high-quality courses and professional certificates in the fields of machine learning and deep learning. The platform provides beginners and professionals with a hands-on opportunity to learn AI skills and apply them. By partnering with industry leaders, DeepLearning.AI ensures that course content is cutting-edge and practical, helping learners build a solid foundation in the field of AI and advance their careers.

xAI is a company focused on building artificial intelligence to accelerate human scientific discovery. We are led by Elon Musk, CEO of Tesla and SpaceX. Our team has contributed some of the most widely used methods in the field, including the Adam optimizer, batch normalization, layer normalization, and the discovery of adversarial examples. We further introduced innovative technologies and analytics such as Transformer-XL, Autoformalization, Memory Transformer, Batch Size Scaling, μTransfer and SimCLR. We have participated in and led some of the biggest breakthrough developments in the field including AlphaStar, AlphaCode, Inception, Minerva, GPT-3.5 and GPT-4. Our team is advised by Dan Hendrycks, Director of the AI ​​Safety Center. We work closely with Company X to bring our technology to more than 500 million X application users.

UbiOps is an AI infrastructure platform that helps teams quickly run their AI and machine learning workloads as reliable and secure microservices without changing existing workflows. It provides ultra-fast pipelines with zero DevOps, optimized computing resources, support for LLMs and CV models, and other features. UbiOps supports hybrid and multi-cloud workload orchestration, allowing models to be deployed in private or public cloud environments, ensuring that data and models always remain in the user's environment. In addition, UbiOps provides built-in security features such as end-to-end encryption, secure data storage and access control to help enterprises comply with relevant regulations.

LAMDA-TALENT is a comprehensive tabular data analysis toolbox and benchmarking platform that integrates more than 20 deep learning methods, more than 10 traditional methods, and more than 300 diverse tabular data sets. Designed to improve model performance on tabular data, the toolbox provides powerful preprocessing capabilities, optimizes data learning, and supports user-friendly and adaptable operations for both novice and expert data scientists.

FiddleCube is a product focused on the field of data science. It can quickly generate question and answer pairs from users' data and help users evaluate large language models (LLMs). It provides an accurate golden data set, supports multiple question types, and has the ability to evaluate data accuracy through metrics. In addition, FiddleCube also provides diagnostic tools to help users identify and improve poorly performing queries.

AI Online Course is an interactive learning platform that provides a clear and concise introduction to artificial intelligence, making complex concepts easy to understand. It covers machine learning, deep learning, computer vision, autonomous driving, chatbots, etc., and emphasizes practical applications and technical advantages.

Next AI Jobs is a website that provides job and career opportunities in areas such as artificial intelligence, machine learning, natural language processing, and data science. It connects employers and job seekers in the artificial intelligence industry, providing broad development space and opportunities for talents. The main advantage of Next AI Jobs is that it concentrates job and career opportunities in the field of artificial intelligence, providing job seekers with a more convenient career development path.

Dreamseer is an APP that interprets dreams through data science, helping users understand themselves deeply and achieve personal growth and evolution. Its key benefits include providing deep insights, driving community collaboration, expanding the dream world, and more. Dreamseer is positioned in the areas of personal growth and community cooperation.

MyGO is a tool for multi-modal knowledge graph completion that improves the accuracy of completion by processing discrete modal information as fine-grained tags. MyGO uses the transformers library to embed text tags and then train and evaluate on multi-modal datasets. It supports custom data sets and provides training scripts to reproduce experimental results.

Google Cloud's machine learning engineer learning path is a set of selected online courses and experiments designed to help learners gain hands-on experience with Google Cloud technology and master key skills such as the design, construction, production, optimization, operation, and maintenance of machine learning systems. After completing this learning path, learners can further obtain the Google Cloud Machine Learning Engineer certification to lay a solid foundation for career development.

DataCamp is an online learning platform that offers courses in data science, AI, and related fields. It provides a hands-on learning experience with interactive exercises and short videos covering a wide range of topics including Python, R, SQL, ChatGPT, Power BI, and more. DataCamp also provides certifications and resources for data science career development.

Semantic Space Theory (SST) is the foundation of Hume AI research, which uses computational methods and data-driven approaches to map the full spectrum of human emotions. SST treats emotions as a high-dimensional semantic space through natural data and advanced statistical methods, and reveals the complexity and nuances of emotions.

Cleora PRO is a tool that helps data science teams create high-quality customer and product embedding vectors without expensive hardware. It can represent entities (such as customers, products, stores, accounts, etc.) through embedded vectors, similar to Word2Vec or BERT in text, or CLIP in images. Cleora's embedding vectors are behavioral, represented by an entity's behavioral history, which exists in the form of a large graph. Using Cleora PRO, you can build enterprise models such as recommendation systems, customer segmentation, propensity prediction, lifetime value modeling, churn prediction, and more.

FibonacciKu is a personalized AI learning assistant designed for teachers and students. It simplifies the learning process and makes education more convenient.

MLJAR provides excellent data science tools and learning materials to help users understand and utilize their data. Product capabilities include automating machine learning, converting notebooks into interactive web applications, generating Python graphs using LLMs, building your own SaaS, and server and website monitoring. The advantage of MLJAR is to provide XAI capabilities, fair machine learning, model interpretation, fairness indicators, and rapid anomaly detection and timely notification. In terms of pricing, MLJAR provides a variety of product comparisons and comparisons of algorithms such as decision trees, random forests, Xgboost, LightGBM, and CatBoost. Positioned in the field of data science tools.

OpenDoc AI is a tool that provides everyone with data science capabilities, from analysis to customized artificial intelligence models and workflows, achieving 10x acceleration. It automates data workflows with generative AI, provides clear AI instructions for company-wide use, transforms data into actionable insights without training or data science knowledge, easily connects to databases, and processes a variety of data types. OpenDoc AI is trusted and supported by teams of all sizes, bringing collaborative knowledge experiences to organizations across all industries.

Onehouse is a universal data lakehouse that provides open storage, continuous data streaming, and automated optimization across table formats, engines, and cloud platforms. It is an automated data platform based on Hudi, Delta and Iceberg. Onehouse supports business intelligence, data science and AI/ML, providing a unified lake house solution. It supports streaming and batch processing, automatically manages data infrastructure, and is truly open and interoperable to save costs and meet expanding needs. Built by the creators of Apache Hudi, Onehouse features high-throughput streaming data ingestion, easy-to-change data capture, automated data management, cloud-native tables and metadata.

Plomber Cloud is an online collaboration platform for data scientists and machine learning engineers. It achieves reproducibility of data science projects through version control and environment management, allowing users to easily share code, data, and operating environments with team members. The main functions include: tracking project iteration history; supporting Jupyter and integrated development environment to smooth data science workflow; using Docker and Kubernetes to achieve environmental consistency; supporting the running and scheduling of notebooks and scripts. The product adopts a pay-as-you-go subscription model and is aimed at enterprise data science teams that need to work collaboratively.

Kanaries is an enhanced analytics engine that discovers patterns, insights, and causal relationships in your data sets with one click. It can automatically explore and visualize data sets, provide relevant recommendations to data scientists, and help users clean and interpret data. The product is positioned to redefine the workflow of data cleaning, exploration and visualization, and improve the efficiency of data analysis.

DataMotto is an AI data analysis platform that can help users analyze data, provide valuable insights, and guide users to make informed decisions. Its main features include simplifying complex data, guiding users with targeted questions, automating code queries, and more. DataMotto supports modern data science languages, can upload or integrate various data sources, and provides analysis-ready data. Users can centrally manage all analyzes and team members in a workspace. DataMotto is suitable for various scenarios, such as business insights, education, etc. There are currently free and paid plans available.

Pollinations is a team of data scientists, machine learning experts, artists, and futurists deeply involved in the AI ​​ecosystem. Now, Pollinations is focusing on AI music video creation and will soon launch an exciting real-time immersive AI product called Dreamachine.

Daetama is a leading data science and interview preparation platform that aims to provide students with high-quality SQL and data science related learning materials. Our data science materials are curated by Meta and Google data scientists who used the same materials to successfully land their dream jobs. Now we want to help you do the same by offering this high-quality content at an affordable monthly subscription price.

Alteryx Analytics Automation Platform is a platform that provides end-to-end analytics, machine learning and data science process automation to accelerate digital transformation.

Saturn Cloud is a cloud platform that solves the complex infrastructure management and expansion required for data science and machine learning. It provides an environment for data science using R and Python, supporting functions such as GPU and Dask clusters. Saturn Cloud helps data scientists, data science leaders, and software engineers streamline development, deployment, and data processing. The product offers different features and pricing plans to suit various needs.

Posit is a company dedicated to creating incredible open source tools for individuals, teams, and businesses. It provides open source cloud and enterprise products, including RStudio IDE, Shiny, Posit Cloud, and more. Posit's products accelerate the process of data analysis and data science and are suitable for users of all sizes. Posit's products are priced flexibly and are suitable for individual users, academia, small businesses and large enterprises.

Domino Data Lab is a unified, collaborative, and controlled end-to-end enterprise-level AI platform. The platform can build, deploy and manage AI models in any environment, and access data, tools, calculations and projects in any environment. Domino Data Lab helps enterprises accelerate AI applications and expand AI scale while ensuring governance and reducing costs by establishing best practices, tracking models in production, and strengthening governance.

IBM Watson Studio is a collaborative platform that enables data scientists, developers and analysts to build, train and deploy machine learning models. It supports a variety of data sources, enabling teams to streamline their workflows. With advanced features such as automated machine learning and model monitoring, Watson Studio users can manage their models throughout the development and deployment lifecycle.

Colaboratory (Colab for short) is an online programming platform launched by the Google research team. Users can write and execute Python code in the browser, and use the free GPU/TPU resources of Google Cloud to accelerate the operation. Colab provides functions such as code editor, interactive execution, and visual results. It can insert text, formulas, and images. It is a good assistant for data analysis, machine learning, and other tasks. The main advantages are: no configuration required, free use of GPU, easy sharing, etc. Suitable for students, data scientists, AI researchers, etc. to write Python code.

HAILabs is committed to improving K12 students’ literacy in artificial intelligence, data, and data science. Through interactive activities, projects and personalized content, children can achieve excellent results at their own pace under the guidance of 1:1 artificial intelligence tutors. Introduce applied mathematics, statistics, and exciting artificial intelligence and data science into children's lives with Hello AI-HAILabs.ai. The platform is developed based on the latest children's learning research results and under the guidance of child psychologists and education experts to help children become familiar with artificial intelligence and data science and enjoy the learning process.

MonkeyLearn is a code-free text analysis tool that cleans, labels, and visualizes customer feedback. It is based on advanced artificial intelligence technology to help users gain insights from data. MonkeyLearn provides instant data visualization and detailed analysis results, supporting custom charts and filters. Users can use off-the-shelf machine learning models or build and train their own models. MonkeyLearn also provides templates for different business scenarios to help users quickly analyze data and gain practical insights.

Deepnote AI is an AI-assisted data exploration tool that paves the way for AI-driven data exploration in notebooks by providing efficient, context-sensitive code suggestions. It features intelligent code auto-completion, error checking, and variable type inference. Deepnote AI can significantly improve the productivity of data scientists and analysts.

AI data analysis assistant is an artificial intelligence assistant that can help data scientists improve the data analysis process. It can answer users' questions about data and provide data analysis support through AI technology. The main functions of the assistant include data visualization, data cleaning, data mining, etc. Its advantage is to answer data questions quickly and accurately and provide real-time analysis results. The product is priced based on usage, with different subscription packages available based on your needs. Positioned as a right-hand assistant for data scientists, helping them work more efficiently in data analysis.

Gretel.ai is a synthetic data platform built for developers. By using Gretel's API, you can generate anonymous and secure synthetic data to innovate faster while protecting privacy. Gretel.ai makes generating synthetic data simple and easy by training generative AI models, validating quality and privacy scores for models and use cases, and generating the amount of data you need on demand. Gretel's Python library allows you to generate synthetic data within a few lines of code. You can also use the Gretel console to start generating synthetic data without writing code.

Einblick is an AI-native data notebook that automatically writes and fixes code, draws beautiful diagrams, builds models, and more. It combines the power of OpenAI and LangChain, using an intuitive data science canvas that lets you focus on data delivery, rather than syntax and manually adjusting charts and tables. It features visual workflows, flexible UI, and integrated interactive components to easily create charts, tables, machine learning models, and more. Einblick also provides a cloud environment, saving time and resources on debugging and synchronization. It is suitable for collaboration and use by data science teams, providing secure and scalable solutions.

The integrated solution is an intelligent data integration and decision-making platform that integrates all big data systems through automated processes to achieve large-scale data processing and analysis. The platform helps users make data-based decisions in minutes, provides comprehensive data analysis and prediction capabilities, and supports various types of data processing and data science models. Product pricing is based on specific needs, and free trials are available. It is suitable for various industries and organizations to help users optimize business processes and improve decision-making efficiency.

Best AI Jobs is the #1 Artificial Intelligence job board with over 2,000 job openings, including Artificial Intelligence Software Engineer, AI Developer, Machine Learning Engineer, and more. Get a job in AI and join the future!

Data Endpoints is a machine learning API marketplace where users can find the best machine learning API endpoints and make requests and predictions without the hassle. Products provide various features, benefits, pricing and positioning information.

AI SQL Query Builder makes it easy to generate, interpret and optimize SQL queries. No SQL knowledge required. By asking simple natural language questions, AI will generate high-quality SQL queries for you. Supports multiple data sources and multiple languages. After the trial period, flexible payment plans are available.

CodeSquire is an AI code writing assistant that provides real-time code completion and suggestions for data scientists, engineers, and analysts. It turns your thoughts into code and provides you with code completion and suggestions. Insert the suggested code by pressing the Tab key. CodeSquire supports platforms such as Jupyter, VS Code, Pycharm and Google Colab. It generates the entire function for you based on your data science use case. CodeSquire offers Copilot for data science coding.

Text2SQL.AI is a tool that uses artificial intelligence to quickly generate SQL queries. It can convert ordinary English text into complex SQL queries, helping users quickly construct complex SQL query statements. In addition to SQL queries, it can also generate Excel formulas, Google Sheets formulas and regular expressions to help users process data more efficiently. Text2SQL.AI supports a variety of database types and provides interpretation, optimization, and error repair capabilities for SQL queries. No SQL knowledge is required, with Text2SQL.AI you can save time and be more productive.

Einblick is an AI-native data notebook that can write and fix code, draw beautiful charts, build models, and more. It uses a visual way to display the data science workflow, provides AI assistant Einblick Prompt, supports Python and SQL mixed programming, and has built-in interactive components to support team collaboration.

Obviously AI is the fastest, most accurate no-code AI tool, allowing you to go from raw data to industry-leading predictive models in minutes, not months. It includes capabilities to build breakthrough AI models, deploy models to production, monitor model performance, integrate and share predictive data, and professional support. With Obviously AI, you can save time building complex AI models and get support from your entire data science team.

ChatGPT Data & Analytics is a comprehensive directory of resources, materials, and guidance covering content related to ChatGPT. This directory is designed to help you improve your AI skills. This book provides ChatGPT tips to help you unleash your creativity and become more productive. Tips are clear and concise. All material in this directory has been carefully curated to ensure reliable and authoritative sources to provide you with high quality information and guidance.

Intel AI and Deep Learning Solutions are a series of downloadable AI reference kits launched by Intel in partnership with Accenture to help enterprises accelerate their digital transformation journey. These kits are built on the AI ​​application tools Intel provides to data scientists and developers, and each kit includes model code, training data, instructions for machine learning pipelines, libraries, and Intel oneAPI components.