shashankg7

awesome-ML

Curated list of Machine Learning/Data Science resources

Deep-Learning-for-NLP-Resources

List of resources to get started with Deep Learning for NLP.

glove-tensorflow

Tensorflow implementation of Glove Word Embedding Model

glove-theano

GloVe Word Embedding model's implementation in theano

Keras-CNN-QA

Keras (re)implementation of paper "Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. SIGIR, 2015"

Matrix-Factorization-GPU

Large scale matrix factorization on GPU

pynet

Web Data Extraction from Flat and Nested Records

Seq2Seq

Library to train parallel-aligned sequence data based on Keras

Visual-Question-Answering

Visual Question Answering system's different implementations

word2graph2vec

Representation learning for words and Labelled Documents by modelling them as graph (part of IRE Project at IIIT-H)

shashankg7/AETN

The implementation of the AutoEncoder-coupled Transformer Network by TensorFlow

shashankg7/BanditLib

Library of contextual bandits algorithms

shashankg7/BAP

Bayesian Analysis with Python (Second Edition)

shashankg7/bayesian-methods-for-ml

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

shashankg7/curriculum-learning

Investigating the effects of curriculum learning on neural networks

shashankg7/deeplearning-1

shashankg7/deeplearning-models

A collection of various deep learning architectures, models, and tips

shashankg7/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

shashankg7/Distance-Dependent-Chinese-Restaurant-Process-

Setup to run ddcrp clustering using embedding based distance on a text corpus.

shashankg7/DP3

Deep Point Process by PyTorch

shashankg7/graph_nets

Build Graph Nets in Tensorflow

shashankg7/hdp

Code to work with Dirichlet processes and hierarchical Dirichlet processes and perform inference using MCMC.

shashankg7/hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

shashankg7/ipython-notebooks

Some iPython Notebooks I have created for personal learning

shashankg7/kge

LibKGE - A knowledge graph embedding library for reproducible research

shashankg7/p-emb

Exponential family embeddings (Poisson or Bernoulli) for discrete data

shashankg7/poismf

(Python, R, C) Code for "Fast non-Bayesian Poisson factorization for implicit-feedback recommendations"

shashankg7/resources

PyMC3 educational resources

shashankg7/rethinking-tensorflow-probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

shashankg7/Rumor_RvNN

Source Codes: Rumor Detection on Twitter with Tree-structured Recursive Neural Networks -- ACL 2018

shashankg7/sentence-classification-pytorch

Sentiment analysis with variable length sequences in pytorch

shashankg7/simple_mf

Simple but Flexible Recommendation Engine in PyTorch

shashankg7/STAMP

Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

shashankg7/svae_cf

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

shashankg7/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

shashankg7/time_lstm

shashankg7/vae_demo

shashankg7/vertical-search-blending-dataset

shashankg7/word2gm

Word to Gaussian Mixture Model

shashankg7/wtte-rnn

WTTE-RNN a framework for churn and time to event prediction