344 Open source projects that are alternatives of or similar to scikit-hubness

Hubness analysis and removal functions

All the code for a series of Medium articles on Approximate Nearest Neighbors

LSH index for approximate set containment search

Open-source vector similarity search for Postgres

annoy-rb provides Ruby bindings for the Annoy (Approximate Nearest Neighbors Oh Yeah).

An open-source vector database for embedding similarity search and AI applications.

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

2017-CCF-BDCI-让AI当法官(初赛)：7th/415 (Top 1.68%)

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

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 tasks.

An (un-)ethical hacking-station based on Raspberry Pi and Python

manipulate JSON files

Interface to manage and centralize Google Alert information

《Python数据分析与挖掘实战》随书源码与数据

Real-time sentiment analysis in Python using twitter's streaming api

Well handling

The shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining algorithm BIDE, and generator sequential pattern mining algorithm FEAT.

A scikit-learn compatible library for anomaly detection

Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

Social Network Analysis of Zhihu with Python

数据可视化, 数据挖掘, 数据处理 ETL

Extract indicators of compromise from text, including "escaped" ones.

HTTP(S) Rotating Residential proxies - Code examples & General information

Rosie Pattern Language (RPL) and the Rosie Pattern Engine have MOVED!

The "Python Machine Learning (1st edition)" book code repository and info resource

Complete machine learning model codes

Analyze Data with Pandas-based Networks. Documentation:

A curated list of awesome machine learning interpretability resources.

🍊 📊 💡 Orange: Interactive data analysis

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Quick ADC

Collection of stats, modeling, and data science tools in Python and R.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

the `pipeline` shell command

some python projects

A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.

Materials for GWU DNSC 6279 and DNSC 6290.

Topic Modelling for Humans

A repository with my data analysis results of software artifacts

source{d} Community Edition (CE)

Analytic platform for real-time large-scale streams containing structured and unstructured data.

🎼天池阿里音乐流行趋势预测大赛，项目中涵盖了从初赛到复赛的全部核心代码。复赛的聚合数据可以在百度网盘下载，更详细的思路介绍欢迎访问我的博客。

Social media scraping / data collection tool for the Facebook, Twitter, Reddit, YouTube, Pinterest, and Tumblr APIs

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

Apuntes personales sobre estadística, machine learning y lenguaje de programación R

📝 An awesome Data Science repository to learn and apply for real world problems.

Twitter数据挖掘及其可视化

Ranking, acceptance rate, deadline, and publication tips

Extract price and indicator data from TradingView charts to create ML datasets

An efficient Python implementation of the Apriori algorithm.

Machine learning fundamentals lesson in interactive notebooks

Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Curated list of Python resources for data science.

Ensemble learning related books, papers, videos, and toolboxes

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.