Popular GitHub Repositories for Splitting

All in One Version : Youtube WAV Download, Separating Vocal, Splitting Audio, Training, and Inference Using Google Colab

Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

A fast, lightweight and easy-to-use Python library for splitting text into semantically meaningful chunks.

A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB to BGR conversion, change batch size, batch rename of OP, and JSON convertion for ONNX models.

All in One Version : Youtube WAV Download, Separating Vocal, Splitting Audio, Training, and Inference Using Google Colab

? CHONK your texts with Chonkie ✨ Type-friendly, light-weight, fast and super-simple chunking library

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Explore LangChain and build powerful chatbots that interact with your own data. Gain insights into document loading, splitting, retrieval, question answering, and more.

? semantic-chunking ? semantically create chunks from large document for passing to LLM workflows

Implementation of differents algorithms for segmentation of laserscans, splitting them into subsets of beams, with a ROS2 interface.

the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly

A Python tool for splitting large Markdown files into smaller sections based on a specified token limit. This is particularly useful for processing large Markdown files with GPT models, as it allows the models to handle the data in manageable chunks.

Deep One-Class Classification using Intra-Class Splitting

A practical, 21-day crash revision series covering all major ReactJS concepts built for frontend developers preparing for interviews. Includes daily bite-sized explanations, code examples, mini exercises, and top interview questions.

Official code for "EC-SNN: Splitting Deep Spiking Neural Networks on Edge Devices" (IJCAI2024)

Simplify COCO dataset management with an intuitive GUI for visualization, merging, splitting, and updating. Perfect for ML and computer vision projects.

A collection of custom n8n nodes for enhanced document processing, text splitting, and embeddings generation

CLI that helps with docs splitting, embedding and exposing them in a seamless manner

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

This repository is for the COMS 6998 Practical Deep Learning System Performance course final project that I took at Columbia (https://www.cs.columbia.edu/education/ms/fall-2020-topics-courses/#e6998010). In this project, my teammate and I investigate parallelism in NLP. We experimented on how parallelism (e.g. using multi-head attention instead of recurrent connection and splitting input for inference) affects model performance (accuracy and speed-wise). More on it here http://bit.ly/pract-dl-final-report.