NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library

Content-Addressable Data Synchronization Tool

Alternative casync implementation

A package for parsing PDFs and analyzing their content using LLMs.

A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.

The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

A fast and lightweight pure Python library for splitting text into semantically meaningful chunks.

Live TS segmenter and HLS manifest creation in Go

An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.

webpack 2, react hotloader 3, react router v4, code splitting and more

📑 Split Laravel jobs into multiple separate job chunks

An asynchronous event-driven HTTP client based on netty.

Грамматический Словарь Русского Языка (+ английский, японский, etc)

a modular multimodal framework for ai applications

Fast multi-threaded content-dependent chunking deduplication for Buffers in C++ with a reference implementation in Javascript. Ships with extensive tests, a fuzz test and a benchmark.

Labelling Sequential Data in Natural Language Processing with R - using CRFsuite

Extract and align grammar patterns from English sentences.

Build document-native LLM applications

FastCDC implementation in Python https://pypi.org/project/fastcdc/