lngvietthang Goto Github PK

neural-vqa

VIS+LSTM model for Visual Question Answering

newspaper

News extraction, article extraction and curation in python 3. Built with multithreading, 10+ languages, NLP, ML, and more!

nlm

Neural Language Model

nlpnet

A neural network architecture for NLP tasks, inspired in the SENNA system. It uses as input vectors built through Vector Space Models and avoid external NLP tools. Currently, it can perform POS tagging, SRL and dependency parsing.

nmn2

Dynamically predicted neural network structures for multi-domain question answering

nnclustering

The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)

nnsegmentation

Word segmentation using neural networks based on package https://github.com/SUTDNLP/LibN3L

omwtk

Open Multilingual Wordnet Toolkit

open-sourced-tools

A list of tools I coded might be useful

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

python-vncorenlp

A Python wrapper for VnCoreNLP using a bidirectional communication channel.

qa-memnn

Question Answering Using Memory Networks (CS224D Project)

rdrsegmenter

A Fast and Accurate Vietnamese Word Segmenter

rebaseline

Model Zoo for many papers in machine learning/deep learning/computer vision/natural language processing field

recursiveneuraltensornetwork

A deep learning recursive neural tensor network for sentiment analysis, implemented from its source paper.

restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

rlntm

An implementation of the RL-NTM from http://arxiv.org/abs/1505.00521

rnn

Recurrent Neural Network library for Torch7's nn

rnn-experiment

Experiments with Recurrent Neural Nets

rnn_ctc

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

rntn

Recursive Neural Tensor Networks

sail

Sentiment Analysis with Incremental Learning

scdl

Sentence Compression using Deep Learning

scrnns

This is a self contained software accompanying the paper titled: Learning Longer Memory in Recurrent Neural Networks: http://arxiv.org/abs/1412.7753.

semantic_summ

semantic summarization using abstract meaning representation (AMR)

semi-supervised-recursive-autoencoders-for-opinion-detection-on-twitter

sentencepiece

sentiment-analysis-using-recursive-autoencoders

sentiment_dataset

seq2seq

Sequence to Sequence Learning with Keras