data-processing

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

A lightweight data processing framework built on DuckDB and 3FS.

A light-weight, flexible, and expressive statistical data testing library

Data transformation framework for AI. Ultra performant, with incremental processing. 🌟 Star if you like it!

Concurrent and multi-stage data ingestion and data processing with Elixir

Large-scale pretraining for dialogue

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Kubernetes-native platform to run massively parallel data/streaming jobs

Python Stream Processing

Extract Transform Load for Python 3.5+

Concurrent Python made simple

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Easy Data Preparation with latest LLMs-based Operators and Pipelines.

Data and tools for generating and inspecting OLMo pre-training data.

Scalable data pre processing and curation toolkit for LLMs