Intrusion Detection SystemI have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.unb.ca/cic/datasets/ids-2017.html. By keeping Monday as the training set and rest of the csv files as testing set, I tried one class SVM and deep CNN model to check how it works. Here the Monday dataset contains only normal data and rest of the days contains both normal and attacked data. Also, from the same university (UNB) for the Tor and Non Tor dataset, I tried K-means clustering and Stacked LSTM models in order to check the classification of multiple labels.
Stars: ✭ 20 (-4.76%)
Mutual labels: jupyter-notebook
Machine Learning Starter KitThe fastest way for developers and managers to gain practical ML knowledge and to apply it to their own projects.
Stars: ✭ 20 (-4.76%)
Mutual labels: jupyter-notebook
AvContains solutions to AV competitions
Stars: ✭ 21 (+0%)
Mutual labels: jupyter-notebook
Brain Tumor Segmentation KerasKeras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"
Stars: ✭ 20 (-4.76%)
Mutual labels: jupyter-notebook
Crunchbase MlMerge and Acquisitions Prediction based on M&A information from Crunchbase.
Stars: ✭ 20 (-4.76%)
Mutual labels: jupyter-notebook
MppcaMixtures of Probabilistic Principal Component Analysers implementation in python
Stars: ✭ 19 (-9.52%)
Mutual labels: jupyter-notebook
AndaCode for our ICAR 2019 paper "ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection"
Stars: ✭ 20 (-4.76%)
Mutual labels: jupyter-notebook
Odw 2019 Stars: ✭ 21 (+0%)
Mutual labels: jupyter-notebook
Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-4.76%)
Mutual labels: jupyter-notebook
P5deeplearndeeplearn.js meets p5
Stars: ✭ 20 (-4.76%)
Mutual labels: jupyter-notebook
Spark NotebooksCollection of useful notebooks to be used with the Spark Notebook (https://github.com/andypetrella/spark-notebook)
Stars: ✭ 20 (-4.76%)
Mutual labels: jupyter-notebook
Altair CatplotUtility to generate plots with categorical variables using Altair.
Stars: ✭ 20 (-4.76%)
Mutual labels: jupyter-notebook
Mongolian BertPre-trained Mongolian BERT models
Stars: ✭ 21 (+0%)
Mutual labels: jupyter-notebook
Grab AiforseaEntry for Grab's AI for S.E.A. challenge
Stars: ✭ 20 (-4.76%)
Mutual labels: jupyter-notebook
DatacontainerstutorialsTutorials on Python Data Containers for no-so-BigData
Stars: ✭ 20 (-4.76%)
Mutual labels: jupyter-notebook
Repro Zoo 2018Reproduced papers from the Reproducibility Zoo
Stars: ✭ 21 (+0%)
Mutual labels: jupyter-notebook
WpthermlPioneering the design of materials to harness heat.
Stars: ✭ 21 (+0%)
Mutual labels: jupyter-notebook
Coop CutCooperative Cut is a Markov Random Field inference method with high-order edge potentials.
Stars: ✭ 20 (-4.76%)
Mutual labels: jupyter-notebook