740 Open source projects that are alternatives of or similar to Anomaly_Detection

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

A fast xgboost feature selection algorithm

This repository contains notes and projects of Data scientist track from dataquest course work.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

A curated list of awesome anomaly detection resources

All the slides, accompanying code and exercises all stored in this repo. 🎈

Examples of using Neptune to keep track of your experiments (maintenance only).

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

yet another custom data science template via cookiecutter

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Log Anomaly Detection - Machine learning to detect abnormal events logs

A collection of Methods and Models for various architectures of Artificial Neural Networks

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Jun 2020 scikit-learn sprint

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Makine Öğrenmesi Türkçe Kaynak

Learning to create Machine Learning Algorithms

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

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

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

Main component extraction for outlier detection

A Python Package for Density Ratio Estimation

No description or website provided.

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

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

Compilation of R and Python programming codes on the Data Professor YouTube channel.

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]

A Deep Graph-based Toolbox for Fraud Detection

Teach you how to implement machine learning algorithms

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

My GitHub blog: things you might be interested, and probably not...

The Fuzzy Labs guide to the universe of open source MLOps

Data-centric declarative deep learning framework

I will update this repository to learn Machine learning with python with statistics content and materials

Lets Learn AI

A machine learning toolkit dedicated to time-series data

model-describer : Making machine learning interpretable to humans

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

A day to day plan for this challenge. Covers both theoritical and practical aspects

Python codes from tutorials on the Data Professor YouTube channel

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

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

No description or website provided.

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

Heart Disease prediction using 5 algorithms

Plant Disease Identification Using Convulutional Neural Network

Comet-For-MLFlow Extension

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

A guide to getting started with Data Science and ML.

List of Data Science and Machine Learning Resource that I frequently use

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

Dynamic Programming implemented in Rcpp. Includes example partition and out of sample fitting applications.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all