911 Open source projects that are alternatives of or similar to Isolation Forest

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Latent space autoregression for novelty detection.

Isolation Forest on Spark

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

Main component extraction for outlier detection

The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

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]

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

Jupyter kernel for scala and spark

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Avro2TF is designed to fill the gap of making users' training data ready to be consumed by deep learning training frameworks.

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

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

.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

Collection of open-source Spark tools & frameworks that have made the data engineering and data science teams at Swoop highly productive

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

pyspark🍒🥭 is delicious，just eat it!😋😋

Node.js bindings for Apache Spark DataFrame APIs

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Feature Store for Machine Learning

Spark Streaming监控平台，支持任务部署与告警、自启动

BigQuery data source for Apache Spark: Read data from BigQuery into DataFrames, write DataFrames into BigQuery tables.

An encrypted data analytics platform

There are pieces of scala code that explain Scala syntax and related things - like what you can do with all this

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

log anomaly detection toolkit including DeepLog

A curated list of community detection research papers with implementations.

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

A large-scale entity and relation database supporting aggregation of properties

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Extended datasource support for Spark/Hadoop on Aliyun E-MapReduce.

Boiler plate framework to use Spark and ZIO together.

An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR

Apache Spark and Apache Kafka integration example

A Flexible, Fast, Federated(3F) SQL Analysis Middleware for Multiple Data Sources

🌿 基于springboot的快速学习示例,整合自己遇到的开源框架,如：rabbitmq(延迟队列)、Kafka、jpa、redies、oauth2、swagger、jsp、docker、spring-batch、异常处理、日志输出、多模块开发、多环境打包、缓存cache、爬虫、jwt、GraphQL、dubbo、zookeeper和Async等等📌

Kinesis Connector for Structured Streaming

Elassandra = Elasticsearch + Apache Cassandra

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

Convolutional Autoencoder for Loop Closure

A pandas-like deferred expression system, with first-class SQL support

📊 Cube — Open-Source Analytics API for Building Data Apps

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Foremast adds application resiliency to Kubernetes by leveraging machine learnt patterns of application health to keep applications healthy and stable

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

This project is meant to provide resources to users who want to access good LinkedIn posts which contains resources to learn any Technology, Design, Self-Branding, Motivation etc. You can visit project by:

Spark RDD with Lucene's query and entity linkage capabilities

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

Spring-Shiro-Spark是Spring-Boot Hibernate Spark Spark-SQL Shiro iView VueJs... ...的集成尝试

Deep Learning sample programs using PyTorch in C++

Avro SerDe for Apache Spark structured APIs.