Roseky-Shmily

Roseky-Shmily's Stars

• Seafood-SIMIT/DeepSVDD-Pytorch-4-HRRP-Radar-Target-Recognition

  Pytorch实现的基于SVDD的一维高分辨率雷达距离像目标识别/Target recognition of one-dimensional high-resolution radar range profile based on SVDD realized by pytorch

  Language:Python321

• quliuwuyihmy/Radar-HRRP-dl

  Radar HRRP classfication deep learning

  Language:Python3412

• jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships

  A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.

  38465

• silenceagle/preprocess-dataset

  preprocess images and generate train, validation, test dataset

  Language:Python41

• naivelogic/xview3_ship_detection

  https://iuu.xview.us/challenge

  Language:Python71

• Hrishikeshrelekar/Ship-Size-Estimation-in-SAR-data-using-Inertia-Tensors

  The repository consists code for finding size of ships detected in synthetic aperture radar data using inertia tensors.

  Language:Jupyter Notebook6

• Larryxi/Scapy_zh-cn

  Scapy中文使用文档

  417111

• yungshenglu/USTC-TK2016

  Toolkit for processing PCAP file and transform into image of MNIST dataset

  Language:Python20062

• echowei/DeepTraffic

  Deep Learning models for network traffic classification

  Language:Python663299

• HatBoy/Pcap-Analyzer

  Python编写的可视化的离线数据包分析器

  Language:Python993370

• Network-Hub/FlowMining

  A tool for PCAP files process

  Language:Python61

• artemmavrin/focal-loss

  TensorFlow implementation of focal loss

  Language:Python18643

• ModelTC/United-Perception

  United Perception

  Language:Python42565

• bojone/attention

  some attention implements

  Language:Python1.4k511

• osamaa-mustafa/C5_W4_A1_Transformer_Subclass_v1-1-

  C5_W4_A1_Transformer_Subclass_v1 (1). Learning Objectives Create positional encodings to capture sequential relationships in data Calculate scaled dot-product self-attention with word embeddings Implement masked multi-head attention Build and train a Transformer model Fine-tune a pre-trained transformer model for Named Entity Recognition Fine-tune a pre-trained transformer model for Question Answering Implement a QA model in TensorFlow and PyTorch Fine-tune a pre-trained transformer model to a custom dataset Perform extractive Question Answering

  Language:Jupyter Notebook22

• bojone/bert4keras

  keras implement of transformers for humans

  Language:Python5.4k925

• xiaosongshine/transfromer_keras

  transfromer model py keras

  Language:Python3216

• uzaymacar/attention-mechanisms

  Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

  Language:Python34084

• FlamingJay/Hierarchical-Attention-Model-for-Intrusion-Detection

  We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the application of Attention in NLP.

  Language:Python123

• manojkumar-github/Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRU

  An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach

  Language:Jupyter Notebook3014

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9k1.8k

• philipperemy/keras-attention

  Keras Attention Layer (Luong and Bahdanau scores).

  Language:Python2.8k676

• upup123/AAAI-2019-AFS

  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".

  Language:Python4214

• razor08/Efficient-CNN-BiLSTM-for-Network-IDS

  Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS

  Language:Jupyter Notebook9416

• CynthiaKoopman/Network-Intrusion-Detection

  Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

  Language:Jupyter Notebook23791

• maozezhong/focal_loss_multi_class

  mutil-class focal loss implemented in keras

  Language:Python15958

• naiknaware05/ensemble-IDS-multi-attack

  Ensemble based IDS for multi attack environment.

  11

• massimo-guarascio/dnn_ensemble_ids

  DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting ensembles of classifiers.

  Language:Python95

• ishaak15/UNSW-IDS-Feature-Selection

  Language:Jupyter Notebook5

• 404notf0und/Tree-ensemble-Intrusion-Detection-with-KDD99

  using machine-learning to detecte instruction

  Language:Python2811