2222 Open source projects that are alternatives of or similar to Pyod

Main component extraction for outlier detection

List of tools & datasets for anomaly detection on time-series data.

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Anomaly detection related books, papers, videos, and toolboxes

Curated list of Python resources for data science.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

Universal Reddit Scraper - A comprehensive Reddit scraping command-line tool written in Python.

NFStream: a Flexible Network Data Analysis Framework.

pyclustring is a Python, C++ data mining library.

model-describer : Making machine learning interpretable to humans

Multi-class confusion matrix library in Python

Explore high-dimensional datasets and how your algo handles specific regions.

a delightful machine learning tool that allows you to train, test, and use models without writing code

Machine learning fundamentals lesson in interactive notebooks

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Practical Data Science with Ruby based tools.

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

A proofreader for your data

📝 Подборка ресурсов по машинному обучению

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

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

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

A library of extension and helper modules for Python's data analysis and machine learning libraries.

TSrepr: R package for time series representations

A scikit-learn compatible library for anomaly detection

PHP-ML - Machine Learning library for PHP

Introduction to Data Science

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

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-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Analyze Data with Pandas-based Networks. Documentation:

TOD: GPU-accelerated Outlier Detection via Tensor Operations

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

ELKI Data Mining Toolkit

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

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.

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

open source for wechat-official-account (ID: PyDataLab)

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

H2O.ai Machine Learning Interpretability Resources

Loan Application Data Analysis

Taller SparkR para las Jornadas de Usuarios de R

benfordslaw is about the frequency distribution of leading digits.

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

서울시 공무원의 업무추진비를 분석하여 진짜 맛집 찾기 프로젝트

ADRepository: Real-world anomaly detection datasets

MemStream: Memory-Based Streaming Anomaly Detection

BERT, LDA, and TFIDF based keyword extraction in Python

Quiz & Assignment of Coursera

Job data mining repo for lagou.com

UC Berkeley team's submission for RecSys Challenge 2018

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

Relax! Flux is the ML library that doesn't make you tensor