grayming Goto Github PK

abstractive-summarization-with-transfer-learning

Abstractive summarisation using Bert as encoder and Transformer Decoder

advanced-machine-learning

Machine Learning classifiers and examples from the graduate class at Stony Brook with Prof. Leman Akoglu. Adaboost, EM, HMM, KNN, Naive Bayes vs. Logistic Regression.

alil

Code for ACL2018 paper "Learn How to Actively Learn: An Imitation Learning Approach"

federatednlpsurvey

gicf

code that implements the paper From Group to Individual Labels using Deep Features

markup

Determines which markup library to use to render a content file (e.g. README) on GitHub

maxent

Maximum Entropy Modeling Toolkit for Python and C++

ming-liu

models

Models built with TensorFlow

nltk-trainer

Train NLTK objects with zero code

rcnn

Recurrent & convolutional neural network modules

scikit-learn

scikit-learn: machine learning in Python

summarization_triplets

summarizationpapers

summpip

Code for "SummPip: Multi-document summarisation with sentence graph compression"