Popular GitHub Repositories for Ego Splitting

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

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.

[CVPR 2023 Highlight ?] Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision

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

Code for T-ITS paper "Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry" and for ICRA paper "Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks".

GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

The official code for the CVPR 2024 paper: Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer

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

Official implementation of the paper "Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion"

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.

A collection of ego-motion estimation projects for AD/ADAS functions