Shashank Gupta's repositories
ASONAM-Trust-Inference
Code for ASONAM 17 paper titles - ' Simultaneous Inference of User Representations and Trust'
3D-Machine-Learning
A learning resource repository for 3D machine learning
Davies-Bouldin-Index
The Davies–Bouldin index (DBI) (introduced by David L. Davies and Donald W. Bouldin in 1979) is a metric for evaluating clustering algorithms. This is an internal evaluation scheme, where the validation of how well the clustering has been done is made using quantities and features inherent to the dataset. Here is an implementation in Python.
ddcrp-gibbs
Gibbs sampler for the Distance Dependent Chinese Restaurant Process
deep-dmr
Implementation of Deep Dirichlet Multinomial Regression in python + cython.
dmmclust
dmmclust is a package for clustering short texts, based on Yin and Wang (2014)
dpsearch
Dirichlet Process Mixtures with the DPSearch algorithm.
GRU4Rec
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
Knowledge-Graph-Analysis-Programming-Exercises
Exercises for the Analysis of Knowledge Graphs
NRLPapers
Must-read papers on network representation learning (NRL)/network embedding (NE)
PhD_thesis
Exponential Family Embeddings
PM
Probabilistic Models of Human and Machine Intelligence
PrecisionWorkshop1_Prep
Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
probabilistic-models
Collection of probabilistic models and inference algorithms
pyreclab
pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, GRIMA Lab and SocVis Lab.
Recurrent-Point-Process
Modeling the asynchronous event sequence via Recurrent Point Process
sentiment-discovery
Unsupervised Language Modeling at scale for robust sentiment classification
spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
tf-decompose
Tensor decomposition implemented in TensorFlow
tf-seq2seq
Sequence to sequence learning using TensorFlow.
Variational-Autoencoders-Collaborative-Filtering
This repository contains python (using Keras) code implementing variational autoencoders for collaborative filtering on movielens and spotify data
web2text
Source code for the paper "Web2Text: Deep Structured Boilerplate Removal", full paper @ ECIR'18
xgboostExtension
xgboost Extension for Easy Ranking & TreeFeature
ZIP-Regression
Code for Zero Inflation Poisson Regression code