Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
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Statsmodels: statistical modeling and econometrics in Python
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A library optimized for concise and principled data graphics and layouts.
Translated📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Castopod is an open-source hosting platform made for podcasters who want engage and interact with their audience. Synchronized read-only mirror of https://code.castopod.org/adaures/castopod
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Various algorithms visualized interactively on the web, entirely with Rust 🦀
Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.
Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory