Stars
Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar
Wi-Fi signals dataset (original and modified) by UCI ML Repository
A curated list of radar datasets, detection, tracking and fusion
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.
[AAAI25] Implementation of paper "WiFi Temporal Activity Detection via Dual Pyramid Network"
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
A place to share radar data with the community, shared between the open radar packages
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
A point cloud dataset for mmWave radar human activity recognition.
[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
In this repository, a set of peaks detection algorithms and implemented in python, and tested using a generated data .For more details about these algorithms, check this link: https://www.baeldung.…
[mmWave based fmcw radar design files] based on AWR1843 chip operating at 76-GHz to 81-GHz.
A collection of AWESOME things about domian adaptation
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation using Pytorch, based on: https://arxiv.org/pdf/2001.02950.pdf
A pytorch implementation of Maximum Mean Discrepancies(MMD) loss