Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
Repository Index
47,133 repositories indexed
1–19 of 19 · Most stars
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
- data-science
- python
- machine-learning
- pycaret
A python library for user-friendly forecasting and anomaly detection on time series.
- python
- time-series
- forecasting
- machine-learning
A curated list of awesome anomaly detection resources
- awesome-anomaly-detection
- awesome
- anomaly-detection
- anomalydetection
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
- logs
- unstructured-logs
- log-analysis
- log-parsing
Anomaly Detection and Correlation library
- anomaly-detection
- anomalydetection
Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.
- beacons
- blue-team
- c2
- command-and-control
WinDBG Anti-RootKit Extension
- kernel-mode
- c-plus-plus
- malware
- malware-analysis
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
- data-analytics
- data-cleaning
- data-cleansing
- data-engineering
Tidy anomaly detection
- detect-anomalies
- decomposition
- iqr
- time-series
A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
- isolation-forest
- spark
- outlier-detection
TranslatedAn industrial anomaly detection project based on PatchCore, studying layer2/layer3 score fusion, sensitivity-guided shrinkage, and risk-controlled gating, and providing an engineering-oriented Streamlit demo.
- anomaly-detection
- computer-vision
- feature-fusion
- industrial-anomaly-detection
Suricata rules for network anomaly detection
- suricata-rule
- suricata
- ids
- nsm
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
- time-series-analysis
- model-selection
- bayesian-inference
- anomaly-detection
Lightweight Docker monitoring dashboard with anomaly detection & Telegram alerts. One-liner install, zero config.
Self-hosted 4D spatiotemporal AI platform built on PostgreSQL, PostGIS, TimescaleDB, H3 and pgvector, with anomaly & threat detection, NLQ interface and full observability.
- ai-platform
- anomaly-detection
- h3
- nlq
Declarative data quality engine. Define checks in YAML, run anywhere.
- airflow
- anomaly-detection
- data-contracts
- data-quality
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
- anomaly-detection
- bigquery
- cli
- data-engineering