Shashank Gupta's repositories
Fake-News-Detection
Experiments for the task of Fake News Detection
VITutorial
This repository stores slides for a tutorial on variational inference for NLP audiences.
AETN
The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow
BanditLib
Library of contextual bandits algorithms
bayesian-methods-for-ml
Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
curriculum-learning
Investigating the effects of curriculum learning on neural networks
deep-Bayesian-nonparametrics-papers
The collection of papers about combining deep learning and Bayesian nonparametrics
deeplearning-models
A collection of various deep learning architectures, models, and tips
DP3
Deep Point Process by PyTorch
graph_nets
Build Graph Nets in Tensorflow
hdp
Code to work with Dirichlet processes and hierarchical Dirichlet processes and perform inference using MCMC.
ipython-notebooks
Some iPython Notebooks I have created for personal learning
p-emb
Exponential family embeddings (Poisson or Bernoulli) for discrete data
resources
PyMC3 educational resources
Rumor_RvNN
Source Codes: Rumor Detection on Twitter with Tree-structured Recursive Neural Networks -- ACL 2018
sentence-classification-pytorch
Sentiment analysis with variable length sequences in pytorch
simple_mf
Simple but Flexible Recommendation Engine in PyTorch
STAMP
Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation
svae_cf
[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
word2gm
Word to Gaussian Mixture Model
wtte-rnn
WTTE-RNN a framework for churn and time to event prediction