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-image-captioning-with-novel-topics-guidance-and-retrieval-based-topics-re-weighting

anomalydetection

NSL-KDD99

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.

classification

Classification using Support Vector Machines, K Nearest Neighbors, and Neural Networks in MATLAB

classifier

Classify a dataset using five different classifiers including k-NN, Support Vector Machine (with RBF kernel), Naïve Bayes, Decision Trees and Neural Networks. The objective is to experiment with parameter selection in training classifiers and to compare the performance of these well- known classification methods.

cnn-svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

computer-vision-assisted-uav-detection-and-tracking

This System track the Flaying object and Detect the object using various Machine learning algoritm like Support vector maching,KNN,Random forest and convoluted Neural network.

concrete-mathematics

Solutions to the exercises in Concrete Mathematics (2nd edition)

cv-papers-with-code

Computer Vision Papers with Code in GitHub

data-science-books

data-science-machine-learning-ai-resources

A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.

deep-activity-rec

Paper ibrahim et al, cvpr 2016 - A Hierarchical Deep Temporal Model for Group Activity Recognition -

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep_learning_matlab

Using SVM and MLP on MNSIT then trying Autoencoder for feature extraction and data preprocessing and feeding it to SVM

deeplearning_ids

Deep learning based Intrusion Detection System

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deeptraffic

Deep Learning models for network traffic classification

dlaudio

Structured Auto-Encoder with application to Music Genre Recognition (master thesis)

double_layer_rbf_autoencoder

RBF+Autoencoder

dsg-detr

elm_matlabclass

Fast OOP MATLAB® implementation of Extreme Learning Machines for both regression and binary classification problems.

feature_selection

feature selection by using random forest.

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.