A's repositories
Image-Captioning-with-Adaptive-Attention
PyTorch implementation of image captioning with adaptive attention mechanism.
Mobility_AD_Datasets_2024
This report contains the mobility and autonomous driving dataset.
asg2cap
Code accompanying the paper "Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs" (Chen et al., CVPR 2020, Oral).
awesome-deep-learning-papers
The most cited deep learning papers
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
butd-image-captioning
Bottom-up Top-down image captioning model with PyTorch.
BUTD_model
A pytorch implementation of "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" for image captioning.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
DeepTraffic
Deep Learning models for network traffic classification
Fine-Grained-Image-Captioning
The pytorch implementation on “Fine-Grained Image Captioning with Global-Local Discriminative Objective”
Graph2Seq
Graph Neural Networks including GAT\GCN\GGNN，GGNN-LSTM,using scene graph to generate captions
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.
Human-Evaluation
Human Evaluation of " Image Captioning with Novel Topics Guidance and Retrieval-based Topics Re-weighting"
image-captioning-DLCT
Official pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).
Image-Captioning-with-MAD-and-SAP
Code for paper "Image Captioning with End-to-End Attribute Detection and Subsequent Attributes Prediction". IEEE Transactions on Image Processing 2020
KDDCup99_NID_LSTM
Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data
Mobility_AD_Datasets
This report contains the mobility and autonomous driving dataset.
mt-captioning
A PyTorch implementation of the paper Multimodal Transformer with Multiview Visual Representation for Image Captioning
mtrl-auto-uav
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
RSTNet
RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR2021)
TensorflowPredictCongestionTypes
Python tensorflow is used to predict trafffic congestion types based on image object recognition
TrafficFlowPrediction
Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
tum
papers, presentation, notes, references
VSGG-Net
Video Scene Graph Generation