Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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.
#计算机科学#A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
A lightweight data processing framework built on DuckDB and 3FS.
#大语言模型#Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
A light-weight, flexible, and expressive statistical data testing library
Concurrent and multi-stage data ingestion and data processing with Elixir
#计算机科学#Large-scale pretraining for dialogue
#自然语言处理#Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
#大语言模型#Real-time data transformation framework for AI. Ultra performant, with incremental processing.
Kubernetes-native platform to run massively parallel data/streaming jobs
#计算机科学#Python Stream Processing
Extract Transform Load for Python 3.5+
Concurrent Python made simple
#计算机科学#Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
#自然语言处理#Data and tools for generating and inspecting OLMo pre-training data.
#大语言模型#Scalable data pre processing and curation toolkit for LLMs
#计算机科学#Large-scale pretrained models for goal-directed dialog