weijen9896

weijen9896's Stars

• Reamd7/notion-zh_CN

  notion 中文化

  Language:JavaScript7.4k1.1k

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.5k3.3k

• jiangyiqun233/PRML_learning

  learning fomula

  Language:Jupyter Notebook28059

• jesuspapgga/Cooperative-energy-spectrum-sensing

  Centralized cooperative spectrum sensing with soft fusion of energy measurements in highly mobile environments. Neyman-Pearson (NP) detection criterion. Three methods: LRT (assuming the instantaneous SNRs at the cognitive radios are known by the fusion center, Generalized LRT (GLRT), Online Expectation-Maximization (EM) based algorithm that jointly estimates the SNRs and detects the presence of primary signals.

  Language:MATLAB173

• mieskolainen/ROCpack

  Neyman-Pearson lemma, likelihood ratio, ROC, efficiency, purity, Bayes error

  Language:TeX21

• liquidSVM/liquidSVM

  Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

  Language:C++669

• hz-zhu/NPD-micro-saccade-detection

  Neyman–Pearson Detector (NPD) for saccadic eye movements

  Language:C++82

• ZhaoRichard/nproc

  Python implementation of nproc: Neyman-Pearson (NP) Classification Algorithms. To install: pip install nproc

  Language:HTML197

• john-jiang-ca/Neyman-Pearson

  Graduate Study Report, Journal Paper and Thesis

  Language:TeX1

• cosmo-grant/neyman-pearson-tests

  Illustrates Neyman-Pearson tests.

  Language:Python1

• erdongchanyo/Rules

  收集整理觉得还行的一些规则

  Language:JavaScript921204

• yasaminjafarian/HDNet_TikTok

  Language:MATLAB33736

• ibaiGorordo/AWR1843-Read-Data-Python-MMWAVE-SDK-3-

  Python program to read and plot the data in real time from the AWR1843 mmWave radar board (MMWAVE SDK 3)

  Language:Python14039

• ibaiGorordo/AWR1642-Read-Data-Python-MMWAVE-SDK-2

  Python program to read and plot the data in real time from the AWR1642 and IWR1642 mmWave radar boards (Texas Instruments).

  Language:Python13757

• ibaiGorordo/IWR1443-Read-Data-Python-MMWAVE-SDK-1

  Python program to read and plot the position of the reflected points from the IWR1443 and the AWR1443. It works both with Windows and Raspberry Pi.

  Language:Python7530

• fengxudi/mmWave-gesture-dataset

  6913

• pantheon5100/HGR_res_fine_tune

  fine tune to recogonize

  Language:Python2

• Xinyu-Yi/PIP

  A real-time system that captures physically correct human motion, joint torques, and ground reaction forces with only 6 inertial measurement units

  Language:Python31938

• nesl/RadHAR

  Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar

  Language:Python16353

• 99rishita/human_motion_recognition

  This is an implementation of the paper 'Real-Time Human Motion Behavior Detection via CNN Using mmWave Radar'.

  Language:Jupyter Notebook269

• edwin-pan/uDoppler-Classification

  Classification of Human Movement using mmWave FMCW Radar Micro-Doppler Signature

  Language:Jupyter Notebook9826

• mkit777/radar_data_can

  毫米波雷达数据处理及可视化

  Language:Python162

• m6c7l/pymmw

  Pythonic mmWave Toolbox for TI's IWR Radar Sensors

  Language:Python28783

• open-mmlab/mmdetection3d

  OpenMMLab's next-generation platform for general 3D object detection.

  Language:Python5.4k1.6k

• robert80203/HuPR-A-Benchmark-for-Human-Pose-Estimation-Using-Millimeter-Wave-Radar

  The official implementation of HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar

  Language:Python8916

• dodowujiayu/Human-Detection-and-Action-Classification

  Language:Python101

• gongpx20069/mmRadar_for_HAR_VS

  Language:Python3211

• idrave/RadHAR_gnn

  Language:Python2

• michiyasunaga/qagnn

  [NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

  Language:Python634111

• Sharpiless/Yolov5-deepsort-inference

  Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中

  Language:Python1.2k280