Qinlong Wang's repositories
actor-critic-public
The source code for "An Actor Critic Algorithm for Structured Prediction"
attention-over-attention
Implementation of Attention-over-Attention Neural Networks for Reading Comprehension (https://arxiv.org/abs/1607.04423) in TensorFlow
BiMPM
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
DCGAN-tensorflow
A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
decomposable_attention
Tensorflow implemenetation of Decomposable Attention Model (A Decomposable Attention Model for Natural Language Inference, 2016).
DeepRL
Combining deep learning and reinforcement learning.
DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
GAN
Demostrate generative adversarial networks (GAN) technology in generating anddescriminate time-sequence, using Tensorflow to implement
hasky
tensorflow applications and library for image and nlp related
kchar
Character-Aware Neural Language Models. A keras-based implementation
Language-Modeling-GatedCNN
Tensorflow implementation of "Language Modeling with Gated Convolutional Networks"
lmkit
language models toolkits with hierarchical softmax setting
mlbasic
深度学习常用优化方法详解
models
Models and examples built with TensorFlow
ntm
TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)
pointer-network-tensorflow
TensorFlow implementation of "Pointer Networks"
pycharm_test
It is a test repository from windows 10 pycharm IDE
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
sdp
Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning
seq2set-keras
implementation of http://arxiv.org/pdf/1511.06391v4.pdf in keras
SeqGAN
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
seqgan-text-tensorflow
:dango: SeqGAN implementation for generating text using an RNN.
SRU-tensorflow
Training RNNs as fast as CNNs. An unofficial tensorflow implementation.
tf-adaptive-softmax-lstm-lm
The experiment result of LSTM language models on PTB (Penn Treebank) and GBW (Google Billion Word) using AdaptiveSoftmax on TensorFlow.
tf-export-test
Small test on how to train->freeze->quantize->import frozen, quantized graph and run inference
tf_rnnlm
Language Modeling with RNN using TensorFlow
universe-starter-agent
A starter agent that can solve a number of universe environments.
wenda-helper
响应最快支持多开的百万英雄//芝士超人/冲顶大会答题助手~
word-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.