bidishasamantakgp

2019_CSGen_ACL

code for the paper "Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text" accepted ACL 2019 https://arxiv.org/abs/1906.05725

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

CNTK

Microsoft Cognitive Toolkit (CNTK)

CTVAE

Control text generation using VAE

dynamic_node_embedding

MaxMarginMLE

Code for the optimization

semi-synthetic-data-generation

VACS

Code and data for "A Deep Generative Model for Code-Switched Text" accepted in IJCAI 2019

vae-random-graph

grapg generation for vae

nevae

Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019

bidishasamantakgp/VACS

Code and data for "A Deep Generative Model for Code-Switched Text" accepted in IJCAI 2019

bidishasamantakgp/CTVAE

Control text generation using VAE

bidishasamantakgp/vae-random-graph

grapg generation for vae

bidishasamantakgp/2019_CSGen_ACL

code for the paper "Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text" accepted ACL 2019 https://arxiv.org/abs/1906.05725

bidishasamantakgp/dynamic_node_embedding

bidishasamantakgp/MaxMarginMLE

Code for the optimization

bidishasamantakgp/semi-synthetic-data-generation

bidishasamantakgp/char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

bidishasamantakgp/CNTK

Microsoft Cognitive Toolkit (CNTK)

bidishasamantakgp/crnn-relation-classification

Tensorflow implementation of the Convolutional Recurrent Neural Network model with max pooling and attentive pooling, for relation classification on biomedical text.

bidishasamantakgp/DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

bidishasamantakgp/emnlp2017-bilstm-cnn-crf

bidishasamantakgp/entity-aware-relation-classification

Tensorflow Implementation of "Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing" (arXiv 2019)

bidishasamantakgp/FewRel

A Large-Scale Few-Shot Relation Extraction Dataset

bidishasamantakgp/GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

bidishasamantakgp/GroundHog

Library for implementing RNNs with Theano

bidishasamantakgp/HashtagPopularityPrediction

bidishasamantakgp/HNRE

Hierarchical Neural Relation Extraction

bidishasamantakgp/improved-gan

code for the paper "Improved Techniques for Training GANs"

bidishasamantakgp/lstm-char-cnn

LSTM language model with CNN over characters

bidishasamantakgp/MaxMarginGMM

Code for max margin general moment measure

bidishasamantakgp/nmt

TensorFlow Neural Machine Translation Tutorial

bidishasamantakgp/OpenNRE

An Open-Source Package for Neural Relation Extraction (NRE)

bidishasamantakgp/random-graph-generation-rl

generate random graphs with specific properties

bidishasamantakgp/relation_extraction_baselines

bidishasamantakgp/RESIDE

EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

bidishasamantakgp/SpanBERT

Code for using and evaluating SpanBERT.

bidishasamantakgp/tNodeEmbed

tNodeEmbed

bidishasamantakgp/WikiEntityDetection

bidishasamantakgp/word-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.