omprasad93 Goto Github PK

abstractive-summarization

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

credit_card_default

crf_fom_scratch

deep-tutorials-for-pytorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

eda-loan-dataset

Jupyter notebook for Exploratory Data Analysis on loan dataset

empathetic_dialog_gen

gcn-based-encoder-decoder-experiment

hmnet-end-to-end-abstractive-summarization-for-meetings

"End-to-End Abstractive Summarization for Meetings" paper - Unofficial PyTorch Implementation

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

ner_tagging_with_lstm

neural-question-generation

Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

nex-assignment

omprasad93

Config files for my GitHub profile.

parts-of-speech-pos--tagging-with-crf

Jupyter notebook for POS tagging with CRFs

refresh

Ranking Sentences for Extractive Summarization with Reinforcement Learning

refreshextractiveneuralsummarizer

Pytorch implementation of Refresh, a neural extractive summarization model

starspace

Learning embeddings for classification, retrieval and ranking.

summarizing_summarization

We summarize the summarization papers presented at major conferences (starting with ACL 2019)

telecom-churn-case-study

Juyter notebook for analyzing and building multiple predictive models for churn prediction for a telecom company

visual-question-answering-in-medical-domain

VQA is a multidisciplinary problem which combines two modalities: text and image. It requires computer vision and NLP techniques (probably, reasoning techniques too). The task is to answer a question correctly, where the question is accompanied by an image on which it is based.

viterbi-algo-and-modifications

This is a Jupyter Notebook with Viterbi algorithm and modifiations to it to accomodate unknown words

viterbi-algorithm