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Shubham Pachori's Projects

gfmm icon gfmm

Code for the paper 'Geodesic Finite Mixture Model'.

ggnn.pytorch icon ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

ghin icon ghin

GHIN stands for (Game-theoretic framework for Heterogeneous Information Network clustering). The program is an implementation of the GHIN framework described in "A game theoretic framework for heterogenous information network clustering" (KDD 2011)

ghrm icon ghrm

[WWW 2021] Source code and datasets for the paper "Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval".

gibsonenv icon gibsonenv

Gibson Environments for Embodied Real-World Active Perception

giveme5w1h icon giveme5w1h

Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

glmp icon glmp

PyTorch code for ICLR 2019 paper: Global-to-local Memory Pointer Networks for Task-Oriented Dialogue https://arxiv.org/pdf/1901.04713

glove icon glove

GloVe model for distributed word representation

glove-python icon glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

glow icon glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

glue-baselines icon glue-baselines

[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations

gmmn icon gmmn

Generative moment matching networks

gnn-lspe icon gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations)

gnn-meta-attack icon gnn-meta-attack

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

goc-vrptw icon goc-vrptw

Electric Vehicle Routing Problem with Time Windows

golden-horse icon golden-horse

Named Entity Recognition for Chinese social media (Weibo). From EMNLP 2015 paper.

good-papers icon good-papers

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

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