Azure Webapp W CntkDeployment template for Azure WebApp, CNTK, Python 3 (x64) and sample model
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Grab AiforseaEntry for Grab's AI for S.E.A. challenge
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Core StoriesAll the notebooks for the analysis of Emotional Arcs within the Project Gutenberg corpus, see "The emotional arcs of stories are dominated by six basic shapes"
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Lstm Sentiment AnalysisSentiment Analysis with LSTMs in Tensorflow
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Altair CatplotUtility to generate plots with categorical variables using Altair.
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DeepbayesBayesian methods in deep learning Summer School
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Machine Learning Starter KitThe fastest way for developers and managers to gain practical ML knowledge and to apply it to their own projects.
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AndaCode for our ICAR 2019 paper "ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection"
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Seq2seq Attention ModelAn implementation for attention model in Keras for sequence to sequence model.
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Ud810 Intro Computer VisionMy solutions for Udacity's "Introduction to Computer Vision" MOOC
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Deep Learning ExperimentsNotes and experiments to understand deep learning concepts
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Brain Tumor Segmentation KerasKeras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"
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Syde 522 Stars: ✭ 15 (-21.05%)
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Crunchbase MlMerge and Acquisitions Prediction based on M&A information from Crunchbase.
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FacealignmentcompareEmpirical Study of Recent Face Alignment Methods
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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.
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DatacontainerstutorialsTutorials on Python Data Containers for no-so-BigData
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Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
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P5deeplearndeeplearn.js meets p5
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