Old-Persian-Cuneiform-OCR

This repository aims to create an OCR model for Old Persian Cuneiform. It includes three OCR models: yolo_cnn_old_persian, tesseract_old_persian, and easyocr_old_persian. The status of these models varies from incomplete to completed but needing optimization. Users can train and use the models for converting Old Persian Cuneiform images to text. The repository also provides resources such as trainer notebooks and pre-trained models for easy access and implementation.

Yalm (Yet Another Language Model) is an LLM inference implementation in C++/CUDA, emphasizing performance engineering, documentation, scientific optimizations, and readability. It is not for production use and has been tested on Mistral-v0.2 and Llama-3.2. Requires C++20-compatible compiler, CUDA toolkit, and LLM safetensor weights in huggingface format converted to .yalm file.

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This repository aims to create an OCR model for Old Persian Cuneiform. It includes three OCR models: yolo_cnn_old_persian, tesseract_old_persian, and easyocr_old_persian. The status of these models varies from incomplete to completed but needing optimization. Users can train and use the models for converting Old Persian Cuneiform images to text. The repository also provides resources such as trainer notebooks and pre-trained models for easy access and implementation.

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The 'Conference-Acceptance-Rate' repository provides acceptance rates for top-tier AI-related conferences in the fields of Natural Language Processing, Computational Linguistics, Computer Vision, Pattern Recognition, Machine Learning, Learning Theory, Artificial Intelligence, Data Mining, Information Retrieval, Speech Processing, and Signal Processing. The data includes acceptance rates for long papers and short papers over several years for each conference, allowing researchers to track trends and make informed decisions about where to submit their work.

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