Machine Learning in R
- machine-learning
- data-science
- tuning
- cran
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Machine Learning in R
🦄 The Enterprise™ programming language
Readings in applied data science
What's in your data? Extract schema, statistics and entities from datasets
Python Streaming DataFrames for Kafka
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
MLBox is a powerful Automated Machine Learning python library.
moDel Agnostic Language for Exploration and eXplanation
eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
Koç University deep learning framework.
visual data prep powered by python
A collection of computer vision pre-trained models.
Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
Hopsworks - Data-Intensive AI platform with a Feature Store
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
NFStream: a Flexible Network Data Analysis Framework.
Visualize large time series data with plotly.py
GRASS - free and open-source geospatial processing engine
TranslatedEvoOntology: A Self-Evolving Ontology Layer for Data Agents ⚙️ The EvoOntology plugin builds and evolves an ontology layer for Claude Code/Codex
Calling Python functions from the Ruby language
mlr3: Machine Learning in R - next generation
GoNB, a Go Notebook Kernel for Jupyter