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100-nlp-papers

100 Must-Read NLProc Papers

arctic-captions

awesome-code

Links to a curated list of awesome implementations of models.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome_tensorflow_implementations

begin-latex-in-minutes

:bowtie: Brief Intro to LaTeX for beginners that helps you use LaTeX with ease. Comments and Contributions are welcomed :thumbsup:

caffe

Caffe: a fast open framework for deep learning.

chatbot-retrieval

Dual LSTM Encoder for Dialog Response Generation

chatbotcourse

自己动手做聊天机器人教程

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

coursera-ml

use numpy and tensorflow to implement these basic ML model and learning algorithm

courseselect

校园选课系统样本 (a template for course selection system by Ruby on Rails)

cs224d

The answer of Stanford cs224d course assignments

cs231n_assignment

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

deep-reinforcement-learning-for-dialogue-generation-in-tensorflow

Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

gittest

hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 关键词提取 自动摘要 短语提取 拼音 简繁转换

hosts

:statue_of_liberty:最新可用的google hosts文件。镜像：

itorch

IPython kernel for Torch with visualization and plotting

kcws

Deep Learning Chinese Word Segment

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

kevin.github.io

lstm-char-cnn-tensorflow

LSTM language model with CNN over characters in TensorFlow

lstmrelatedness

Attempt at using LSTMs to predict semantic relatedness of sentences (a la Tai et al. in Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks, Kai Sheng Tai, Richard Socher, and Christopher D. Manning)

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

namas

Neural Attention Model for Abstractive Summarization