Trending repositories for topic data-mining
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
Anomaly detection related books, papers, videos, and toolboxes
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learnin...
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
An open source alternative to Tableau. Embeddable visual analytic
Node graphs, OSINT data mining, and plugins. Connect unstructured and public data for transformative insights
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A curated list of data mining papers about fraud detection.
UnityPy is python module that makes it possible to extract/unpack and edit Unity assets
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/c...
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
Node graphs, OSINT data mining, and plugins. Connect unstructured and public data for transformative insights
Chrome Extension, download photos, videos from Instagram post, tv, reels, stories
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
UnityPy is python module that makes it possible to extract/unpack and edit Unity assets
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
:video_game: A curated list of awesome game datasets, and tools to artificial intelligence in games
A curated list of data mining papers about fraud detection.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/c...
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
An open source alternative to Tableau. Embeddable visual analytic
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
:memo: An awesome Data Science repository to learn and apply for real world problems.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learnin...
An open source alternative to Tableau. Embeddable visual analytic
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/c...
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
List of tools & datasets for anomaly detection on time-series data.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
Website-downloader is a powerful and versatile Python script designed to download entire websites along with all their assets. This tool allows you to create a local copy of a website, including HTML ...
Machine Learning Roadmap for 2025. Step-by-step guide to become a Data Scientist. Covers the best free learning resources from Python basics to Deep Learning and MLOps.
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
C# KQL query engine with flexible I/O layers and visualization
Extensive acceptance rates and information of main AI conferences
Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
Chrome Extension, download photos, videos from Instagram post, tv, reels, stories
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, expl...
Node graphs, OSINT data mining, and plugins. Connect unstructured and public data for transformative insights
Scrape data from Goodreads using Scrapy and Selenium :books:
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech in top AI conferences and journals.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Machine Learning Roadmap for 2025. Step-by-step guide to become a Data Scientist. Covers the best free learning resources from Python basics to Deep Learning and MLOps.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learnin...
Anomaly detection related books, papers, videos, and toolboxes
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/c...
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
An open source alternative to Tableau. Embeddable visual analytic
Machine Learning Roadmap for 2025. Step-by-step guide to become a Data Scientist. Covers the best free learning resources from Python basics to Deep Learning and MLOps.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Machine Learning Roadmap for 2025. Step-by-step guide to become a Data Scientist. Covers the best free learning resources from Python basics to Deep Learning and MLOps.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
Website-downloader is a powerful and versatile Python script designed to download entire websites along with all their assets. This tool allows you to create a local copy of a website, including HTML ...
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
C# KQL query engine with flexible I/O layers and visualization
PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at ra...
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
Chrome Extension, download photos, videos from Instagram post, tv, reels, stories
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, expl...
Compute the Pareto (non-dominated) set, i.e., skyline operator/query.
Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer (ICDE'23)
a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, an...
Yet Another Reddit Scrapper (without API keys) | Scrap search results, posts and images from subreddits filtered by hot, new etc and bulk download any user's data.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/c...
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
A project providing a Graphic Walker Pane for use with HoloViz Panel.
🔥🔥🔥 Latest Advances on Large Recommendation Models
Machine Learning Roadmap for 2025. Step-by-step guide to become a Data Scientist. Covers the best free learning resources from Python basics to Deep Learning and MLOps.
A curated list of valuable resources from our studies at the University of Tehran (UT), School of Electrical and Computer Engineering (ECE)
Yet Another Reddit Scrapper (without API keys) | Scrap search results, posts and images from subreddits filtered by hot, new etc and bulk download any user's data.
Website-downloader is a powerful and versatile Python script designed to download entire websites along with all their assets. This tool allows you to create a local copy of a website, including HTML ...
📖 A curated list of awesome time-series papers, benchmarks, datasets, tutorials. (WIP)
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committe...
:memo: An awesome Data Science repository to learn and apply for real world problems.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learnin...
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Anomaly detection related books, papers, videos, and toolboxes
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/c...
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
An open source alternative to Tableau. Embeddable visual analytic
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, expl...
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, expl...
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algor...
Awesome Deep Learning for Time-Series Imputation, including an unmissable paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts
PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at ra...
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
Machine Learning Roadmap for 2025. Step-by-step guide to become a Data Scientist. Covers the best free learning resources from Python basics to Deep Learning and MLOps.
Free Facebook pages MetaData Scraping Library - Unlimited Calls
Extensive acceptance rates and information of main AI conferences
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/c...
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
Chrome Extension, download photos, videos from Instagram post, tv, reels, stories