Shanu Kumar (Sshanu)

Sshanu

Geek Repo

Company:Microsoft

Home Page:https://sshanu.github.io/

Twitter:@Sshanukr

Github PK Tool:Github PK Tool


Organizations
DelTA-Lab-IITK

Shanu Kumar's repositories

Relation-Classification-using-Bidirectional-LSTM-Tree

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

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Hierarchical-Word-Sense-Disambiguation-using-WordNet-Senses

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

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Bidirectional-Attention-Flow-for-Machine-Comprehension

Machine Comprehension using Squad and Triviqa Data sets

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ml_HR

Programming Club IIT Kanpur Summer Project

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QALearn

Comprehension Task on PDFs using BiDaf

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civic_issue_dataset

Civic Issue Detection Dataset from Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues

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EE671

codes for course neural networks

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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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blog

Notepad is a Jekyll theme which is very simple, clean and beautiful

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cmfrec

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

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neural-motifs

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

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norwegian-wordlist

A Norwegian wordlist

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pytorch-adda

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

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pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms

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scene-graph-TF-release

"Scene Graph Generation by Iterative Message Passing" code repository

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semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

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torch-toolbox

A collection of snippets and libraries for Torch from e-Lab

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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Unsupervised-Machine-Translation-using-Structured-Latent-Space

Code inspired by Unsupervised Machine Translation Using Monolingual Corpora Only

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