rishabhmisra Goto Github PK

analyzing-song-lyrics

blood-donation-web-application

competitive-programming

Source code for some of the programming problems at CodeChef

curating-quality-ml-datasets

firebasestarterapplication

Skeleton application for demo'ing Firebase to CSE 110 (Software Engineering) students

grasp-ml

Chrome extension that shows definition of various Machine Learning concepts in the form of cards when a new tab is opened

handwritten-digit-classification

hangman

helpfulness-prediction

Prediction of helpfulness of reviews on Amazon using Amazon product review data

hierarchical-attention-network

Implementation of a Hierarchical RNN with attention mechanism for predicting the ratings using reviews

hotel-recommendation-system

Recommendation of top 5 hotel clusters to users based on their search history

likelihood-weighting-inference

music-generation-using-rnn

n-gram

news-headlines-dataset-for-sarcasm-detection

High quality dataset for the task of Sarcasm Detection

product-catalog-size-recommendation-framework

Framework based on latent factor model and metric learning technique to predict fit of different catalog sizes of clothing products so as to recommend appropriately sized products to customers.

rating-prediction

Prediction of rating of items from Amazon product review dataset using latent factor model

rishabhmisra.github.io

Build a Jekyll blog in minutes, without touching the command line.

sarcasm-detection-using-nn

This is the PyTorch implementation of work presented in 'Modelling Context with User Embeddings for Sarcasm Detection in Social Media' (https://arxiv.org/pdf/1607.00976.pdf). We further extend the approach by proposing a hybrid NN architecture and perform experiments on a newly collected data.

scalable-bayesian-matrix-factorization

SBMF is a MCMC Gibbs sampling algorithm for MF having linear time complexity wrt the target rank and linear space complexity wrt the number of non-zero observations

scalable-variational-bayesian-factorization-machine

Scalable Variational Bayesian inference algorithm for FM is developed which converges faster than the existing state-of-the-art MCMC based inference algorithm. Additionally, a stochastic variational Bayesian algorithm for FM is introduced for large scale learning which utilizes SGD.

t-jmars

Jointly modeling aspects, ratings, and sentiment with temporal dynamics for rating prediction.

text-prediction-behind-the-scenes

Blog post on how Markov models of language are used to predict the text

varacnet