791 Open source projects that are alternatives of or similar to kenchi

Anomaly detection related books, papers, videos, and toolboxes

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

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

ADRepository: Real-world anomaly detection datasets

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

🍊 📊 💡 Orange: Interactive data analysis

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

Code for reproducing f-AnoGAN in Pytorch

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

A module for allowing the use of multiple metric functions in scikit's cross_val_score

Algorithmic trading using machine learning.

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

⭐ An anomaly-based intrusion detection system.

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

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

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

TOD: GPU-accelerated Outlier Detection via Tensor Operations

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

A unified framework for machine learning with time series

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

Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.

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

Main component extraction for outlier detection

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

model-describer : Making machine learning interpretable to humans

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 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.

《Python数据分析与挖掘实战》随书源码与数据

👨🏽‍🏫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 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.

Ranking, acceptance rate, deadline, and publication tips

Materials for GWU DNSC 6279 and DNSC 6290.

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

Well handling

Social Network Analysis of Zhihu with Python

the `pipeline` shell command

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

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

Curated list of Python resources for data science.

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

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

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

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

Topic Modelling for Humans

数据可视化, 数据挖掘, 数据处理 ETL

Python library for reading and writing well data using Log ASCII Standard (LAS) files

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

source{d} Community Edition (CE)

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

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

🎼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。

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

Data mining for materials science

some python projects

Analyze Data with Pandas-based Networks. Documentation:

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

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.

Ensemble learning related books, papers, videos, and toolboxes

Twitter数据挖掘及其可视化

An efficient Python implementation of the Apriori algorithm.