shashankg7
Research intern @facebook, and PhD Student at IRLab, University of Amsterdam. Previously: research scientist intern @facebook, data scientist @Flipkart.
UvAAmsterdam
Pinned Repositories
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's Repositories
shashankg7/shashankg7.github.io
shashankg7/a-PyTorch-Tutorial-to-Text-Classification
Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification
shashankg7/anserini-notebooks
Anserini notebooks
shashankg7/baidu_ultr_dataset
an unbias-learning-to-rank dataset of Baidu
shashankg7/Bias-Preference-Elicitation
Repo accompanying CONSEQUENCES paper on Unbiased Preference Elicitation
shashankg7/BLBF
Batch Learning From Bandit Feedback
shashankg7/cikm-safeultr
Repo for CIKM 2024 Submission on safe ULTR
shashankg7/conversationalIR
Overview of venues, research themes and datasets relevant for conversational search.
shashankg7/ConvProductSearchNF
Code for paper "Conversational Product Search Based on Negative Feedback"
shashankg7/crm_ultr
Repository for the SIGIR 2023 paper "Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization".
shashankg7/CRSPapers
Conversational Recommender System (CRS) paper list. 对话推荐系统论文列表
shashankg7/enhancing-transformers
An unofficial implementation of both ViT-VQGAN and RQ-VAE in Pytorch
shashankg7/Folder-Structure-Conventions
Folder / directory structure options and naming conventions for software projects
shashankg7/FPAN
shashankg7/mars-gym
shashankg7/Multitask-Recommendation-Library
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
shashankg7/Off-Policy-2-Stage
Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130
shashankg7/RecLab
shashankg7/recsys2024_optimal_baseline
Source code for running the experiments for the RecSys 2024 full paper, "Optimal Baseline Corrections for Off-Policy Contextual Bandits".
shashankg7/recsys_slates_dataset
FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) for users over a longer time horizon.
shashankg7/rectorch
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
shashankg7/rsparse
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
shashankg7/shashankg7
Config files for my GitHub profile.
shashankg7/sigir_2022_BISER
shashankg7/track-viz
shashankg7/Transformer-Hawkes-Process
Code for Transformer Hawkes Process, ICML 2020.
shashankg7/tutorial-jupyterbook-with-turing-way
A draft of the JupyterBook / The Turing Way tutorial for the JupyterCon 2020
shashankg7/unbiased-pairwise-rec
(ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"
shashankg7/Unbiased-Propensity-and-Recommendation
Code for the RecSys20 paper -- Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning
shashankg7/VAE-IPS
Codes for the ICTIR 2023 accepted paper on VAE-IPS