Krishna Garg (kgarg8)

kgarg8

Geek Repo

Company:Worked at Samsung R&D Institute, Noida

Location:Chicago, IL

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Krishna Garg's repositories

FullTextKP

Official code for Keyphrase Generation Beyond the Boundaries of Title and Abstract (EMNLP Findings 2022)

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kpgen-lowres-data-aug

Official code for Data Augmentation for Low-Resource Keyphrase Generation (ACL Findings 2023)

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AlignFlow

Presentation for easy understanding of the paper AlignFlow

Convex-Optimization

Newton Method implementation

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named-entity-recognition

Repository for Named Entity Recognition in Pytorch

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NMT-RNN

NMT with RNN Models: (1) in Vanilla style, (2) with Sentencepiece, (3) using Pre-trained models from FairSeq

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Text-Style-Transfer

Politeness related Text-style-transfer literature

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Travello-NLP_P3

Extracting Addresses from Unstructured Text using Deep Learning Models like LSTM, BERT, etc.

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visual-dialog-papers

Contains a collection of Visual Dialog and VQA papers

cs224n

Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021

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cs559-uic-neural-networks

CS 559 Neural Networks assignments

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ml-uic-assignments

CS 412: Introduction to Machine Learning at UIC, Fall 2019, Programming Assignments with solutions and analysis of results

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CompGCN

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

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Compiler-Construction

Designing Language & Compiler in Partial Fulfilment of Course Project

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gesture-recognition

Repository for hand gesture recognition

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GNNs-for-NLP

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

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hypertune

Contains hyperparameter tuning code example(s)

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ICT

Code for reproducing ICT ( published in IJCAI 2019)

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impact

ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template

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keyphrase-generation

PyTorch code of “Diverse Keyphrase Generation with Neural Unlikelihood Training” (COLING 2020)

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ocaml-project

Domain Specific Language for Matrix Implementation using OCAML

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optim-meta

Benchmarking optimization-based meta-learning algorithms

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smac

SMAC: The StarCraft Multi-Agent Challenge

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torchinfo

View model summaries in PyTorch!

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VDACs

Value-Decomposition Multi-Agent Actor-Critics

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