A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.
-
Updated
Aug 29, 2024
A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.
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.
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 light-weight, flexible, and expressive statistical data testing library
Concurrent and multi-stage data ingestion and data processing with Elixir
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
Large-scale pretraining for dialogue
Kubernetes-native platform to run massively parallel data/streaming jobs
Python Stream Processing
Extract Transform Load for Python 3.5+
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Data and tools for generating and inspecting OLMo pre-training data.
Large-scale pretrained models for goal-directed dialog
Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.
A tool that uses advanced Monte Carlo simulations and Turbit parallel processing to create possible Bitcoin prediction scenarios.
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
Command line tool to download and extract data from HTML/XML pages or JSON-APIs, using CSS, XPath 3.0, XQuery 3.0, JSONiq or pattern matching. It can also create new or transformed XML/HTML/JSON documents.
Add a description, image, and links to the data-processing topic page so that developers can more easily learn about it.
To associate your repository with the data-processing topic, visit your repo's landing page and select "manage topics."