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A Robust LiDAR-Inertial Odometry for Livox LiDAR
[ICCV2023] NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
Common used path planning algorithms with animations.
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…
Recovers passwords from pixelized screenshots
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
Source code for AAAI 2022 paper: Unified Named Entity Recognition as Word-Word Relation Classification
Base on YOLOv5 Head Person Helmet Detection on Construction Sites,基于目标检测工地安全帽和禁入危险区域识别系统,🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
[ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured Prediction
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
Pytorch-Named-Entity-Recognition-with-BERT
中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)
A curated list of resources dedicated to table recognition
Collection of papers and resources for data augmentation for NLP.
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
Super easy library for BERT based NLP models
Natural Language Processing Tutorial for Deep Learning Researchers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Text Classification Based on Chinese SogouNews
all kinds of text classification models and more with deep learning