siddhu001

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

anserini

Anserini is a Lucene toolkit for reproducible information retrieval research

hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

box-convolutions

PyTorch code for the "Deep Neural Networks with Box Convolutions" paper

COMET

A Neural Framework for MT Evaluation

awesome-rl-nlp

Curated Reinforcement Learning Resources for Natural Language Processing

KDD2019_HetGNN

code of HetGNN

end-to-end-SLU

PyTorch code for end-to-end spoken language understanding (SLU) with ASR-based transfer learning

cedr

Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.

imojie

Neural generation model for Open Information Extraction

conversation_mining

mase

Rethinking end-to-end evaluation for spoken language understanding

DeepTileBars-release

Implementation of DeepTileBars

SIR

IterefinE

iitd-proxy-hack

Scripts to get unlimited network quota at IIT Delhi