Alexander's repositories
algorithm
algorithm4interviewpractice
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
collaborative-rnn
A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
deepnet
Implementations of CNNs, RNNs and cool new techniques in deep learning from scratch
emnlp2017-relation-extraction
Context-Aware Representations for Knowledge Base Relation Extraction
gcn
Implementation of Graph Convolutional Networks in TensorFlow
image_captioning
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
Information-Extraction-Chinese
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
joeynmt
Minimalist NMT for educational purposes
joint
Joint Source-Target Self Attention with Locality Constraints
ML-Tutorial-Experiment
Coding the Machine Learning Tutorial for Learning to Learn
models
Models and examples built with TensorFlow
nlstm
Nested LSTM Cell
nmtpytorch
Neural Machine Translation Framework in PyTorch
nn4nlp2017-code
Code Samples from Neural Networks for NLP
predicting-poverty
Combining satellite imagery and machine learning to predict poverty
pytorch-kaggle-amazon-space
Kaggle竞赛方案(PyTorch):用卫星数据跟踪亚马逊热带雨林人类足迹 Pytorch solution for Planet: Understanding the Amazon from Space https://www.kaggle.com/c/planet-understanding-the-amazon-from-space
R2CNN_FPN_Tensorflow
R2CNN: Rotational Region CNN Based on FPN (Tensorflow)
ResCNN_RelationExtraction
Deep Residual Learning for Weakly-Supervised Relation Extraction: https://arxiv.org/abs/1707.08866
Tensorflow-Project-Template
A best practice for tensorflow project template architecture.
text_classification
all kinds of text classificaiton models and more with deep learning
TextAnalysis.jl
Julia package for text analysis
tf-image-classification
cnn for classification
tf-rnn-attention
Tensorflow implementation of attention mechanism for text classification tasks.
transferlearning
Resources and codes about transfer learning and domain adaptation--迁移学习