Pinned Repositories
AAAI-19_slide_poster
ARCII-for-Matching-Natural-Language-Sentences
A simple Keras implementation of ARC-II model proposed by paper "Convolutional Neural Network Architectures for Matching Natural Language Sentences"
autoencoder_python
autoencoder python
BattRAE
source code for "BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings"
BiMPM
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
chinese_chatbot_corpus
中文公开聊天语料库
clickmodel_wc
click model based on yandex's framework
OpenNMT-py
Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
wikiprep-esa
ESA implementation using Wikiprep output
lidra's Repositories
lidra/OpenNMT-py
Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
lidra/AAAI-19_slide_poster
lidra/ARCII-for-Matching-Natural-Language-Sentences
A simple Keras implementation of ARC-II model proposed by paper "Convolutional Neural Network Architectures for Matching Natural Language Sentences"
lidra/BiMPM
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
lidra/chinese_chatbot_corpus
中文公开聊天语料库
lidra/CONVNET-GAN-SVHN
The DCGAN architecture was first explored in 2016 and has seen impressive results in generating new images, you can read the original paper here. You'll be training DCGAN on the Street View House Numbers (SVHN) dataset. These are color images of house numbers collected from Google street view. SVHN images are in color and much more variable than MNIST.
lidra/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
lidra/gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
lidra/image-caption
lidra/kaggle-quora-question-pairs
Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
lidra/lexdecomp
LexDecomp is an implementation of the Answer Selection (AS) model proposed in the paper Sentence Similarity Learning by Lexical Decomposition and Composition, by (Wang et al., 2016).
lidra/ltp
Language Technology Platform
lidra/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
lidra/models
Models built with TensorFlow
lidra/MovieTweetings
A Live Movie Rating Dataset Collected From Twitter
lidra/MultiTurnResponseSelection
This repo contains our ACL paper data and source code
lidra/NeuralDialog-CVAE
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
lidra/poseeva-test
lidra/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
lidra/ranking_clarification_questions
Code and Data for the paper: "Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information"
lidra/recommendation
推荐系统实例
lidra/rl_learn
我的强化学习笔记和学习材料:book: still updating ... ...
lidra/RLSeq2Seq
Deep Reinforcement Learning For Sequence to Sequence Models
lidra/sentpair
Modelling Sentence Pairs with Tree-structured Attentive Encoder https://arxiv.org/pdf/1610.02806.pdf
lidra/stanford-corenlp
Python wrapper for Stanford CoreNLP.
lidra/tensorflow
Computation using data flow graphs for scalable machine learning
lidra/Text-Match
A simple Keras implementation of Papers "Text Matching as Image Recognition" , ARC-II model from paper "Convolutional Neural Network Architectures for Matching Natural Language Sentences" and "Enhanced LSTM for Natural language inference "
lidra/Text-matching
A simple Keras implementation of Papers "Text Matching as Image Recognition" , ARC-II model from paper "Convolutional Neural Network Architectures for Matching Natural Language Sentences" and "Enhanced LSTM for Natural language inference "
lidra/text_classification
all kinds of text classificaiton models and more with deep learning
lidra/Wikipedia
A Pythonic wrapper for the Wikipedia API