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.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
:memo: An awesome Data Science repository to learn and apply for real world problems.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
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...
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 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
A project providing a Graphic Walker Pane for use with HoloViz Panel.
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
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
A project providing a Graphic Walker Pane for use with HoloViz Panel.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
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...
A Telegram crawler made in Python to automatically search groups and channels and collect any type of data from them (+ dataset included).
A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech 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 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...
Bella is a pure python post-exploitation data mining tool & remote administration tool for macOS. 🍎💻
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
:video_game: A curated list of awesome game datasets, and tools to artificial intelligence in games
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...
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
:memo: An awesome Data Science repository to learn and apply for real world problems.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
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 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 project providing a Graphic Walker Pane for use with HoloViz Panel.
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 project providing a Graphic Walker Pane for use with HoloViz Panel.
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
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...
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
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 program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is...
Portfolio of data science and data analyst projects completed by me for academic, self learning, and hobby purposes.
This project is a scalable unified framework for deep graph clustering.
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...
Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.
A Telegram crawler made in Python to automatically search groups and channels and collect any type of data from them (+ dataset included).
A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech in top AI conferences and journals.
A project providing a Graphic Walker Pane for use with HoloViz Panel.
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...
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
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...
This repository contains resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
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...
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
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
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 resources in the form of ebooks, which are related to Data Science, Machine Learning, and similar topics.
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
Free Facebook pages MetaData Scraping Library - Unlimited Calls
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
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is...
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...
This project is a scalable unified framework for deep graph clustering.
C# KQL query engine with flexible I/O layers and visualization
Парсер сайта 2GIS для сбора адресов и контактов предприятий России и стран СНГ
Автоматизация поиска и исследования вакансий с сайта hh.ru (Headhunter) с помощью методов Python. Классификация данных, поиск статистических параметров.
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...
[IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction
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.
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
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 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 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...
An open source alternative to Tableau. Embeddable visual analytic
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.
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
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...
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...
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
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...
Automate webpages at scale, scrape web data completely and accurately with high performance, distributed AI-RPA.
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...
This project is a scalable unified framework for deep graph clustering.
The tutorials for PyPOTS, guide you to model partially-observed time series datasets.
Chrome Extension, download photos, videos from Instagram post, tv, reels, stories
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
[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs
📖These are the concept drift datasets we made, and we open-source the data and corresponding interfaces. Welcome to use them for free if there is a need.