Repository Index

Statistical Machine Intelligence & Learning Engine

• machine-learning
• regression
• clustering
• manifold-learning

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

• data-science
• python
• dag
• data-engineering

Python Streaming DataFrames for Kafka

• kafka
• python
• stream-processing
• data-engineering

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

• golang
• go
• data-science
• machine-learning

[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

• tabular-data
• gans
• train-dataframe
• adversarial-filtering

Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

• pandas
• pandas-summary
• dataframes
• data-science

Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.

• feature-engineering
• transformers
• pre-processing
• 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.

• parallel
• data-science
• data-visualization
• pandas

Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.

• collaborative-editing
• conflict-resolution
• crdt
• data-engineering