scikit-learn: machine learning in Python
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A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Statistical Machine Intelligence & Learning Engine
- machine-learning
- regression
- clustering
- manifold-learning
🌊 Online machine learning in Python
- incremental-learning
- machine-learning
- python
- online-learning
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Machine Learning in R
- machine-learning
- data-science
- tuning
- cran
What's in your data? Extract schema, statistics and entities from datasets
- python
- privacy
- pii
- npi
Module for statistical learning, with a particular emphasis on time-dependent modelling
- machine-learning
- python
- point-process
- optimization
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
- pandas
- pandas-summary
- dataframes
- data-science
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
Ruby gem to calculate statistics from text to determine readability, complexity and grade level of a particular corpus.
- textstat
- flesch-kincaid-grade
- smog
- flesch-reading-ease
GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions.
- golang
- go
- machine-learning
- stats
A dependency-free Linear Algebra, Statistics, and Machine Learning library written from scratch in V