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
1–24 of 28 · Most stars
mal - Make a Lisp
📈 A small, fast chart for time series, lines, areas, ohlc & bars
- time-series
- ohlc
- line-chart
- performance
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
The AI-native JSON Gantt chart engine. Dependency-free interactive timelines with React, script-tag, CLI, topological DAG solver, and formal JSON schema.
- ai-tools
- critical-path
- dag
- data-visualization
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
- ipyleaflet
- folium
- mapping
- python
Investigate malicious Windows logon by visualizing and analyzing Windows event log
- security
- dfir
- javascript
- visualization
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
- logs
- unstructured-logs
- log-analysis
- log-parsing
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
- security
- kinesis
- serverless
- terraform
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Rumale is a machine learning library in Ruby
Glue strings to data in R. Small, fast, dependency free interpreted string literals.
- r
- strings
- string-interpolation
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
TTK - Topological Data Analysis and Visualization - Source Code
- topological-data-analysis
- visualization
- python
- paraview
Tidy anomaly detection
- detect-anomalies
- decomposition
- iqr
- time-series
AuShadha (औषध): Means medicine in Sanskrit. This is a Electronic Medical Records (EMR) and Public Health Management for small clinics written in Django and Dojo
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
open source E-book on statistical physics
- statistical-physics
- statistical-mechanics
A minimal analytics tool to self-host.
Dataset of packed PE samples
- dataset
- pe-files
- upx
- samples
Graph plotting package with a small API and sensible defaults powered by gnuplot.
- gnuplot
- chart
- crystal