nanfeng1101 Goto Github PK

ad-papers

Papers on Computational Advertising

ad-reading

computational advertising reading list (计算广告阅读）

ai_challenger

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world.

copynet

incorporating copying mechanism in sequence-to-sequence learning

dbqa

DBQA model using cnn, lstm, gru with theano, tensorflow and pytorch.

dbs

faster-rnnlm

Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax

fasttext

Library for fast text representation and classification.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

hierarchicalsoftmax

Hierarchical Softmax Layer

indic-transliteration

Hindi-English Transliteration Using sequence to sequence learning

insuranceqa-corpus-zh

OpenData in insurance area for Machine Learning Tasks

jlm

A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

models

Models built with TensorFlow

paper-implementations

Use PyTorch to implement some classic frameworks

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-seq2seq

A framework for sequence-to-sequence (seq2seq) models in PyTorch.

reinforcement-learning-policy-gradients

Policy Gradient Reinforcement Learning Implementation with Python and Theano

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

seq2seq

seq2seq model for chatbot and translate using theano, tensorflow and pytorch.

seq2seq-chatbot

A theano implementation of the neural conversational model

seq2seq-keyphrase

seq2seq-pytorch

Sequence to Sequence Models with PyTorch

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

seqgan-1

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)