havvanurbozomeroglu

havvanurbozomeroglu's Stars

• KDD-OpenSource/DeepADoTS

  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

  Language:Python562114

• mit-acl/faster

  3D Trajectory Planner in Unknown Environments

  Language:C++949179

• PRBonn/LocNDF

  LocNDF: Neural Distance Field Mapping for Robot Localization

  Language:Python13612

• HarshithK13/Attention-Based-Object-Classification-For-Drone-Imagery

  The motivation is to use attention mechanisms that can help improve the accuracy and efficiency of object classification by focusing on the most relevant parts of the image rather than processing the entire image. The proposed attention-based CNN architecture was adopted and compared comprehensively with the existing networks like VGG16, etc.

  Language:Jupyter Notebook6

• ZhangQ714/Attention_Res_BEVNet

  Code repository for Ground Mobile Robot Traversable Area Recognition Based on 3D CNN and Attention Mechanism

  Language:Python1

• aendrs/attention_mechanism_cnn

  An implementation of an attention mechanism for CNNs. (Based on the paper: Rodriguez et al. ECCV2018)

  Language:Python1

• zhuozhuoweiwei/3D-CNN-based-on-attention-mechanism

  本文采用基于注意力机制的卷积神经神经网络模型来实现对阿尔兹海默症疾病的分类。采用3D卷积对图像进行特征获取，通过在卷积中添加注意力机制，重点关注疾病脑图像中的患病区域，从而提高分类模型的实验精度。

  Language:Python264

• mahmad00/A-Fast-and-Compact-3-D-CNN-for-HSIC

  The code is associated with the following paper "A Fast and Compact 3-D CNN for Hyperspectral Image Classification". IEEE Geoscience and Remote Sensing Letters

  Language:Jupyter Notebook3515

• nshaud/DeepHyperX

  Deep learning toolbox based on PyTorch for hyperspectral data classification.

  Language:Python434122

• mhaut/hyperspectral_deeplearning_review

  Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

  Language:Python18556

• MertColakk/QrNX_Hash_Tool

  QrNX's Hash Tool

  Language:Python2221

• Ashutosh-Badave/4.EKF_estimator_for_Drone

  EKF position estimator for drone

  Language:C++2

• jpsml/6-DOF-Inertial-Odometry

  IMU-Based 6-DOF Odometry

  Language:Python8133

• mtalebizadeh/hyperspectral-image-processing

  Convolutional and multi-layer neural networks for hyperspectral image classification.

  Language:Jupyter Notebook63

• fazildgr8/AppliedDeepLearning

  This repository consists a set of Jupyter Notebooks with a different Deep Learning methods applied. Each notebook gives walkthrough from scratch to the end results visualization hierarchically. The Deep Learning methods include Multiperceptron layers, CNN, GAN, Autoencoders, Sequential and Non-Sequential deep learning models. The fields applied includes Image Classification, Time Series Prediction, Recommendation Systems , Anomaly Detection and Data Analysis.

  Language:Jupyter Notebook83

• swap-253/Time-Series-And-Anomaly-Detection

  In this repository, I have used ARIMA,SARIMA,AutoArima,ANN,CNN and LSTMs for time series modelling and Anomaly detection has been done using LSTM+Autoencoders.

  Language:Jupyter Notebook113

• elisejiuqizhang/TS-AD-Datasets

  Public datasets for time series anomaly detection

  7410

• louisowen6/anomaly_detection

  Time Series Anomaly Detection

  Language:Jupyter Notebook64

• adib0073/Time_Series_Anomaly_Detection

  Effective Approaches for Time Series Anomaly Detection

  Language:Jupyter Notebook118

• emr4h/Malware-Detection-Using-Machine-Learning

  This project analyzes PE information of exe files to detect malware. In this repository you will learn how to create your own dataset and will be able to see the use of machine learning models using the dataset. We will use machine learning for detect malware.

  Language:Jupyter Notebook95

• UZ-SLAMLab/ORB_SLAM3

  ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

  Language:C++6.4k2.5k

• YuePanEdward/MULLS

  MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]

  Language:C++613156

• JokerJohn/LIO_SAM_6AXIS

  LIO_SAM for 6-axis IMU and GNSS.

  Language:C++606121

• jasleon/Vehicle-State-Estimation

  This extended Kalman filter combines IMU, GNSS, and LIDAR measurements to localize a vehicle using data from the CARLA simulator.

  Language:Python5818

• SMART-NYUAD/smart_hilti_2023

  Submission for the 2023 HILTI SLAM Challenge

  Language:CMake11

• juha-ylikoski/imu-dead-reckoning

  Language:Python74

• AaltoVision/ADVIO

  An Authentic Dataset for Visual-Inertial Odometry

  Language:Python23942

• chenjj/espoofer

  An email spoofing testing tool that aims to bypass SPF/DKIM/DMARC and forge DKIM signatures.🍻

  Language:Python1.4k245

• Qengineering/Jetson-Nano-Ubuntu-20-image

  Jetson Nano with Ubuntu 20.04 image

  70074

• Apatil10/SensorFusion-EKF

  Sensor Fusion using Extended Kalman Filter in ROS

  Language:C++21