ML algorithm for real-time classification
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Updated
Jul 21, 2017 - Python
ML algorithm for real-time classification
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
Scalable Generative Models for Mullti-label Learning with Missing Labels
Conditional Associative Logic Memory
Implementation of the Incremental Spherical K-Means Algorithm
Plugins for Online Learning (supervised or unsupervised) in HyperStream
Digital classroom engagement tracking
Data Mining Projects 2017
An autoencoder for deep independence learning and distribution tying.
A Spark Streaming implementation for Online Twitter Sentiment Analysis.
Clustering users into different groups based on click logs of news articles
Comparative study of FTML optimizer done as part of project work for Statistical Methods in Artificial Intelligence, IIITH
My Python coding exercise after study Programming Abstractions CS106B in https://www.youtube.com/user/martystepp/videos
SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in
Code and data for "Enhancing the Accuracy and Fairness of Human Decision Making", NeurIPS 2018
Online Single Index Model Learning
An online machine-learning library for creating robust statistical models of streaming data
Online Kernel Adaptive Filtering Methods implemented in Python. Implementation of Kernel Least Mean Square, Kernel Maximum Correntropy and Quantized versions of both.
This project contains the code for my WINE 2017 submission
Queue-Based Resampling (QBR, ICANN 2018)
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