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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FrolsidentificationA set of Matlab/Octave files that performs a method of Nonlinear System Identification.
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Coop CutCooperative Cut is a Markov Random Field inference method with high-order edge potentials.
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Mj583J583 Advanced Interactive Media
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TutorialsA project for developing tutorials for Streams
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Seq2seq Attention ModelAn implementation for attention model in Keras for sequence to sequence model.
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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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Strata dataA repo of sample data for our PyData Tutorial!
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AvContains solutions to AV competitions
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MppcaMixtures of Probabilistic Principal Component Analysers implementation in python
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Attend Infer Repeat PytorchS.M.Ali Eslam et.al. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models ICML16
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Glo4030 LabsLaboratoires du cours GLO-4030/GLO-7030
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Crunchbase MlMerge and Acquisitions Prediction based on M&A information from Crunchbase.
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MotivesextractorExtract Polyphonic Musical Motives from Audio Recordings
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Repro Zoo 2018Reproduced papers from the Reproducibility Zoo
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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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Grab AiforseaEntry for Grab's AI for S.E.A. challenge
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Ismir2016Instructions for reproducing the research described in the paper "Tempo Estimation for Music Loops and a Simple Confidence Measure"
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ServenetService Classification based on Service Description
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SageHome of the Semi-Analytic Galaxy Evolution (SAGE) galaxy formation model
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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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Azure Webapp W CntkDeployment template for Azure WebApp, CNTK, Python 3 (x64) and sample model
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Spark NotebooksCollection of useful notebooks to be used with the Spark Notebook (https://github.com/andypetrella/spark-notebook)
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DeepbayesBayesian methods in deep learning Summer School
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Nearby exoplanet mapCreating a stylised pseudo-3D exoplanet map using matplotlib
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Rnn SynAnalogs of Linguistic Structure in Deep Representations
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Seq 2 Seq OcrHandwritten text recognition with Keras
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Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
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Tensorflow2 Generative ModelsImplementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
Stars: ✭ 883 (+4104.76%)
Caltech Birds ClassificationThis repo includes code (written in Python) for Caltech-UCSD Birds-200-2011 dataset classification. I have used PyTorch Library for CNN's. You can download the dataset here http://www.vision.caltech.edu/visipedia-data/CUB-200-2011/CUB_200_2011.tgz
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NotebooksAn attempt to formalize my thoughts. A pythonic approach to mental housekeeping
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ArchiveArchive of presentations
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Agu2017Content for my AGU 2017 presentations.
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Ansible JupyterhubAnsible role to setup jupyterhub server (deprecated)
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Altair CatplotUtility to generate plots with categorical variables using Altair.
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TechtalksSlides and Supplementary Material of the past TechTalks at the Karlsruhe Machine Learning, Statistics and AI Meetup
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Lab04Web scraping, APIs, and Twitter
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WpthermlPioneering the design of materials to harness heat.
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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.
Stars: ✭ 20 (-4.76%)