Reverse Dependencies of pyod

The following projects have a declared dependency on pyod:

• adbench — Python package of ADBench
• anai-opensource — Automated ML
• AutoBrewML — With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.
• autogluon.eda — AutoML for Image, Text, and Tabular Data
• automlkiller — Auto machine learning, deep learning library in Python.
• autoprognosis — A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
• autotonne — Auto machine learning, deep learning library in Python.
• AutoZeekWatch — Network Intrusion Detection using Zeek logs
• bunkatopics — Bunkatopics is a Topic Modeling package and Exploration Module
• darts — A python library for easy manipulation and forecasting of time series.
• databricks-kakapo — Kakapo: unsupervised outlier detection and integration with mlflow
• dimopy — 描述信息
• drfr — A Small Package for Use of Research
• dsbot — Chatbot framework ...
• E2EPyPPG — An End-to-End PPG processing pipeline: from quality assessment and motion artifacts romval to HR/HRV extraction
• easyexplore — Toolbox for easy and effective data exploration
• eeg-emotion-recognition — no summary
• empyricalRMT — Eigenvalue unfolding and spectral observable computation
• fast-machine-learning — fast-machine-learning
• fasttreeshap — A fast implementation of TreeSHAP algorithm.
• fathom-lib — Fathom lib
• gdp-time-series — no summary
• graphomaly — Anomaly detection in graphs modeling financial transactions and computer networks.
• gray-box-clf — classificaion witout wax
• hidden-outlier-generation — Python implementation of the bisect algorithm for hidden outlier generation.
• iotfunctions — Open source component of the Maximo Asset Manager pipeline
• iotoutlier1 — Data representation for IoT traffic
• jori-autoprognosis — Test
• lightwood — Lightwood is Legos for Machine Learning.
• M-Ana-package — A Python Package for Data Manipulation and Analysis
• mlflavors — MLflavors: A collection of custom MLflow flavors.
• molflux — A foundational package for molecular predictive modelling
• muzlin — Muzlin: a filtering toolset for semantic machine learning
• netml — Feature Extraction and Machine Learning from Network Traffic Traces
• odmammogram — Outlier Detection for Mammograms (ODM) is a Python package for medical image analysis...
• ofglib — no summary
• oracle-automlx — Automated Machine Learning with Explainability
• paddlets — PaddleTS (Paddle Time Series Tool), PaddlePaddle-based Time Series Modeling in Python
• panda-patrol — 🐼 Patrol your data tests
• pou-shap — A unified approach to explain the output of any machine learning model.
• prenigma-automl — prenigma_automl - An open source, low-code machine learning library.
• prenigmaautoml — prenigma_automl - An open source, low-code machine learning library.
• preprocess1 — no summary
• py-tidy-adapter — python adapter to use with tidy server
• pycaret — PyCaret - An open source, low-code machine learning library in Python.
• pycaret-nightly — Nightly version of PyCaret - An open source, low-code machine learning library in Python.
• pycaret-ts-alpha — PyCaret - An open source, low-code machine learning library in Python.
• pycatcher — This package identifies outlier(s) for a given time-series dataset in simple steps. It supports day, week, month and quarter level time-series data.
• pyclad — Python Library for Continual Lifelong Anomaly Detection
• pyemits — python package for easy manipulation on time series data for quick insight
• pyoats — Quick and Easy Time Series Outlier Detection
• pyoe — Investigating open environment challenges in real-world relational data streams with PyOE.
• pysad — PySAD is an open-source python framework for anomaly detection on streaming multivariate data.
• python-clustering — Intuitive access to clustering datasets, methods and tasks
• pythoncharmers-meta — Meta package with dependencies for Python Charmers training courses
• QPrism — A data quality assessment package
• rankfields — Ranking phase fields with likelihood of finding a stable composition
• sagod — SAGOD : Static Attributed Graph Outlier Detection
• sel-suod — Fork from SUOD v0.1.3 (by Yue Zhao)
• shap — A unified approach to explain the output of any machine learning model.
• shaperone — Shaperone is a fork of the SHAP library, fixing open issues to improve usability.
• simpml — SimpML is an open-source, no/low-code machine learning library in Python that simplifies and automates machine learning workflows.
• sktime — A unified Python toolbox for machine learning with time series
• texture-viz — Process and profile text datasets interactively
• tsod — Time series anomaly detection.
• u8darts — A python library for easy manipulation and forecasting of time series.
• unquad — Conformal anomaly detection for 'PyOD'-detectors.
• viewser — The Views 3 CLI tool