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LightGBM - A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks
For more details, please refer to Features.Experiments on public datasets show that LightGBM can outperform existing boosting frameworks on both efficiency and accuracy, with significantly lower memory consumption. What's more, the experiments show that LightGBM can achieve a linear speed-up by using multiple machines for training in specific settings.
gbdt gbm machine-learning data-mining kaggle efficiency distributed lightgbm gbrtDataflowJavaSDK - Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines
Google Cloud Dataflow SDK for Java is a distribution of Apache Beam designed to simplify usage of Apache Beam on Google Cloud Dataflow service. This artifact includes the parent POM for other Dataflow SDK artifacts.
google-cloud-dataflow data-science data-analysis data-mining big-data data-processingApache Mahout - Scalable machine learning library
Apache Mahout has implementations of a wide range of machine learning and data mining algorithms: clustering, classification, collaborative filtering and frequent pattern mining.
machine-learning classification data-mining fuzzyScikit Learn - Machine Learning in Python
scikit-learn is a Python module for machine learning built on top of SciPy. It is simple and efficient tools for data mining and data analysis. It supports automatic classification, clustering, model selection, pre processing and lot more.
machine-learning data-mining data-analysis classificationawesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security
A curated list of amazingly awesome tools and resources related to the use of machine learning for cyber security. Please read CONTRIBUTING if you wish to add tools or resources.
machine-learning cyber-security data-mining awesome-listgensim - Topic Modelling for Humans
Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community. If this feature list left you scratching your head, you can first read more about the Vector Space Model and unsupervised document analysis on Wikipedia.
gensim topic-modeling information-retrieval machine-learning natural-language-processing nlp data-science data-mining word2vec word-embeddings text-summarization neural-network document-similarity word-similarity fasttextDex - Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations
Dex : The data explorer is a data visualization tool written in Java/JavaFX capable of powerful ETL and data visualization. There are 2 main ways to install Dex.
data-science data-visualization visualization data-analysis data-mining javafx d3 dataviz datavis datavisualization d3jstextract - extract text from any document. no muss. no fuss.
Extract text from any document. No muss. No fuss. Full documentation.
natural-language-processing data-mining text-miningmlxtend - A library of extension and helper modules for Python's data analysis and machine learning libraries
Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks.
machine-learning data-science data-mining association-rules supervised-learning unsupervised-learningpython-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource
This GitHub repository contains the code examples of the 1st Edition of Python Machine Learning book. If you are looking for the code examples of the 2nd Edition, please refer to this repository instead. What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning ... from theory to the actual code that you can directly put into action! This is not yet just another "this is how scikit-learn works" book. I aim to explain all the underlying concepts, tell you everything you need to know in terms of best practices and caveats, and we will put those concepts into action mainly using NumPy, scikit-learn, and Theano.
machine-learning machine-learning-algorithms logistic-regression data-science data-mining scikit-learn neural-networkawesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems
An open source Data Science repository to learn and apply towards solving real world problems. First of all, Data Science is one of the hottest topics on the Computer and Internet farmland nowadays. People have gathered data from applications and systems until today and now is the time to analyze them. The next steps are producing suggestions from the data and creating predictions about the future. Here you can find the biggest question for Data Science and hundreds of answers from experts. Our favorite data scientist is Clare Corthell. She is an expert in data-related systems and a hacker, and has been working on a company as a data scientist. Clare's blog. This website helps you to understand the exact way to study as a professional data scientist.
data-science machine-learning data-visualization science data-mining awesome-list deep-learning analytics data-scientistsML-From-Scratch - Machine Learning From Scratch
Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally efficient algorithms as possible but rather to present the inner workings of them in a transparent and accessible way.
machine-learning deep-learning deep-reinforcement-learning machine-learning-from-scratch data-science data-mining genetic-algorithmvvedenie-mashinnoe-obuchenie - :memo: Подборка ресурсов по машинному обучению
Постоянно обновляемая подборка ресурсов по машинному обучению. Обсуждение машинного обучения в мессенджерах (группы, каналы, чаты, сообщества).
machine-learning data-science collections university mooc data-mining nlp neural-networks deep-learning russianCleverCSV - CleverCSV is a Python package for handling messy CSV files
CleverCSV provides a drop-in replacement for the Python csv package with improved dialect detection for messy CSV files. It also provides a handy command line tool that can standardize a messy file or generate Python code to import it. Click here to go to the introduction with more details about CleverCSV. If you're in a hurry, below is a quick overview of how to get started with the CleverCSV Python package and the command line interface.
csv-converter data-science data-mining csv csv-files python-library python3 datascience csv-format csv-reading csv-parser csv-reader csv-export csv-import csv-parsingsktime - A unified framework for machine learning with time series
For deep learning, see our companion package: sktime-dl. The package is actively being developed and some features may not be stable yet.
data-science machine-learning data-mining time-series scikit-learn forecasting time-series-analysis time-series-classification time-series-regressionawesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning.
machine-learning data-mining awesome deep-learning awesome-list interpretability privacy-preserving production-machine-learning mlops privacy-preserving-machine-learning explainability responsible-ai machine-learning-operations ml-ops ml-operations privacy-preserving-ml large-scale-ml production-ml large-scale-machine-learningResearch - novel deep learning research works with PaddlePaddle
novel deep learning research works with PaddlePaddle
nlp data-mining computer-vision deep-learning knowledge-graph spatial-temporalAlink - Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
machine-learning data-mining statistics kafka graph-algorithms clustering word2vec regression xgboost classification recommender recommender-system apriori feature-engineering flink fm flink-ml flink-machine-learningferret - Declarative web scraping
ferret is a web scraping system. It aims to simplify data extraction from the web for UI testing, machine learning, analytics and more. ferret allows users to focus on the data. It abstracts away the technical details and complexity of underlying technologies using its own declarative language. It is extremely portable, extensible, and fast. It as the ability to scrape JS rendered pages, handle all page events and emulate user interactions.
query-language data-mining scraping scraping-websites dsl cdp crawling scraper crawler chrome web-scrappingMLIB - Apache Spark's scalable machine learning library
MLlib is a Spark implementation of some common machine learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction and lot more.
machine-learning data-mining data-analysis classification
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