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artificial_intelligence_2019

attention

some attention implements

char-rnn-tensorflow

Multi-language Char RNN for TensorFlow >= 1.2.

cnn-text-classification-keras

Text Classification by Convolutional Neural Network in Keras

crnn-relation-classification

Tensorflow implementation of the Convolutional Recurrent Neural Network model with max pooling and attentive pooling, for relation classification on biomedical text.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

google-machine-learning-crash-course

谷歌机器学习速成课程+机器学习术语表PDF+机器学习规则PDF 。该资源适用于机器学习、深度学习和TensorFlow爱好者参考！

hanlp

中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

keras

Deep Learning for humans

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-text-classification

Text classification using Convolutional Neural Networks (CNN)

lstm-context-embeddings

Enriching word embeddings with their surrounding context using bidirectional RNN

mlinactioncode

《机器学习实践》源码和《机器学习-算法原理与编程实践》源码以及学习心得

pro

recurrent-convolutional-neural-network-text-classifier

My (slightly modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9745.

seq_ppi

This is the repository for PIPR. This repository contains the source code and links to some datasets used in the ISMB/ECCB-2019 paper "Multifaceted Protein-Protein Interaction Prediction Based on Siamese Residual RCNN".

sequence-labelling

Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in keras

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

variational-text-tensorflow

TensorFlow implementation of Neural Variational Inference for Text Processing

yun