Peru Bhardwaj (PeruBhardwaj)

PeruBhardwaj

Geek Repo

Location:Baden-Württemberg, Germany

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

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Peru Bhardwaj's starred repositories

intro_dgm

"Deep Generative Modeling": Introductory Examples

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awesome-multimodal-knowledge-graph

A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.

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graph-data-augmentation-papers

A curated list of graph data augmentation papers.

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InferenceAttack

Code repository for ACL-IJCNLP 2021 paper 'Poisoning Knowledge Graph Embeddings via Relation Inference Patterns'

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AttributionAttack

Code repository for EMNLP 2021 paper 'Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods'

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causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

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phdthesis

Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces

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Influence_Subsampling

Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020

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NLP4SocialGood_Papers

A reading list of up-to-date papers on NLP for Social Good.

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graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

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awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

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GraphLog

API for accessing the GraphLog dataset

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awesome-graph-attack-papers

Adversarial attacks and defenses on Graph Neural Networks.

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CompGCN

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

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neural-tangents

Fast and Easy Infinite Neural Networks in Python

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wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

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deep_learning_with_noisy_labels_literature

This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.

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TAADpapers

Must-read Papers on Textual Adversarial Attack and Defense

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graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

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ConvE

Convolutional 2D Knowledge Graph Embeddings resources

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kg-reeval

ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods

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DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

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gnn-model-explainer

gnn explainer

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TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

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docs

TensorFlow documentation

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models

Models and examples built with TensorFlow

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kbc

Tools for state of the art Knowledge Base Completion.

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kge

LibKGE - A knowledge graph embedding library for reproducible research

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