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Seq2seq tutorialCode For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
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News push projectReal Time News Scraping and Recommendation System - React | Tensorflow | NLP | News Scrapers
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CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
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NemoNeMo: a toolkit for conversational AI
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Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
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MelusineMelusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
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DabData Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ
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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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Rnn SynAnalogs of Linguistic Structure in Deep Representations
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Crime AnalysisAssociation Rule Mining from Spatial Data for Crime Analysis
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WpthermlPioneering the design of materials to harness heat.
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Word2vec Workshopword2vec workshop - a conceptual introduction and practical application
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AvContains solutions to AV competitions
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Coop CutCooperative Cut is a Markov Random Field inference method with high-order edge potentials.
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MppcaMixtures of Probabilistic Principal Component Analysers implementation in python
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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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Crunchbase MlMerge and Acquisitions Prediction based on M&A information from Crunchbase.
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Movie recommenderMovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。
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Glo4030 LabsLaboratoires du cours GLO-4030/GLO-7030
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Seq2seq Attention ModelAn implementation for attention model in Keras for sequence to sequence model.
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Stat406STAT406 @ UBC - "Elements of Statistical Learning"
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Pytorch StructFast, general, and tested differentiable structured prediction in PyTorch
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Agu2017Content for my AGU 2017 presentations.
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Altair CatplotUtility to generate plots with categorical variables using Altair.
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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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Lab04Web scraping, APIs, and Twitter
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Grab AiforseaEntry for Grab's AI for S.E.A. challenge
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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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ServenetService Classification based on Service Description
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Boston Housing Prices🏠 Predict the selling price of a new home in Boston, Massachusetts area
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