Trending repositories for topic data-mining
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
: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 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...
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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 Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Computer vision assisted tool to extract numerical data from plot images.
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...
Anomaly detection related books, papers, videos, and toolboxes
Public repository for the PM4Py (Process Mining for Python) project.
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...
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
🔥🔥🔥 Latest Advances on Large Recommendation Models
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/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...
[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs
Public repository for the PM4Py (Process Mining for Python) project.
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We al...
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...
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
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...
Computer vision assisted tool to extract numerical data from plot images.
Node graphs, OSINT data mining, and plugins. Connect unstructured and public data for transformative insights
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
: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 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...
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 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
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
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
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...
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
🔥🔥🔥 Latest Advances on Large Recommendation Models
Your Platform for Text Mining through Configurable LLM Chains. Ideal for Developers and Semi-Technical Users
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...
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...
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs
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...
机器学习+大数据+数据安全：数据安全ai智能风险监测，风控，反欺诈,，api安全，web安全资料收集，致力于打造智能数据安全领域领先的学习资料库，收集不易，欢迎star。 Machine learning + big data + data security: data security AI intelligent risk monitoring, web / api security,...
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
🔥🔥🔥 Latest Advances on Large Recommendation Models
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
: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...
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 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...
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 Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
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...
🔥🔥🔥 Latest Advances on Large Recommendation Models
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...
Anomaly detection related books, papers, videos, and toolboxes
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts
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 a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
Free Facebook pages MetaData Scraping Library - Unlimited Calls
C# KQL query engine with flexible I/O layers and visualization
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
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...
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 Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.
:smile_cat: :speech_balloon: A module to compute textual lexical richness (aka lexical diversity).
A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech in top AI conferences and journals.
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...
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
🔥🔥🔥 Latest Advances on Large Recommendation Models
A curated list of valuable resources from our studies at the University of Tehran (UT), School of Electrical and Computer Engineering (ECE)
A project providing a Graphic Walker Pane for use with HoloViz Panel.
Scraping Wikipedia by combining LangChain's agents and tools with OpenAI's LLMs and function calling
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
: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
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...
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...
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 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
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
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...
Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts
Extensive acceptance rates and information of main AI conferences
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...
Free Facebook pages MetaData Scraping Library - Unlimited Calls
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 objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables that are explained
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
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...
[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs
Automate webpages at scale, scrape web data completely and accurately with high performance, distributed AI-RPA.
Chrome Extension, download photos, videos from Instagram post, tv, reels, stories