orc

Python module for Apache ORC file format

Iterable Data is a Python library for reading and writing data files row by row in a consistent, iterator-based interface. It provides a unified API for working with various data formats (CSV, JSON, Parquet, XML, etc.) similar to csv.DictReader but supporting many more formats.

Gated Recurrent Convolution Neural Network in Pytorch

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A complete Docker-based setup demonstrating how to use Apache Flink to write data to MinIO (S3-compatible storage) using Apache Paimon as a lakehouse storage format.

🚀 A flexible Python library for easy handling and conversion of Hierarchical, Tabular, and Serialized data formats.

text detection CTPN and recognize with Tesseract

NoteMaster AI's FastAPI component provides a robust backend service for transforming photos into structured notes using AI. It handles image processing, text extraction, and note generation, offering a RESTful API for seamless integration into various applications.

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Simulation package for parametric optimization of a two-phase geothermal source ORC powerplant using TESPy

Check .eh_frame and .debug_frame information

The GUI of Organic Rankine Cycle in realtime via Python, using Keysight Agilent.

Competitive multi-agent orchestration. AI agents earn leadership through combat in the Arena.

ReceiptVision is a comprehensive Python-based OCR application that transforms receipts and invoices into structured data using advanced image processing and machine learning techniques. Built with a modern Apple-inspired UI and robust backend architecture.

Simple python script to convert multiple json files into a parquet or and ORC file to be used on Hadoop.

End-to-End Retail Sales Analytics Pipeline using PySpark with Data Quality Validation, ETL Processing, Business Analytics and Optimized Storage Formats.

Spark job to edit a column value in an orc format file

Tests the speed and file size of reading and writing DataFrames to/from disk with different file and compression types

Spark job to get orc format file name after applying any column filter in the data