zhangmeishan's repositories
sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Up-Down-Captioner
Automatic image captioning model based on Caffe, using features from bottom-up attention.
SentenceClassification
Sentence classification with pytorch, saved GPU memory by putting external word embedding always on CPU
Learning-from-data
记录Learning from data一书中的习题解答
lihang-code
《统计学习方法》的代码实现
pytorch_Joint-Word-Segmentation-and-POS-Tagging
Paper: A Simple and Effective Neural Model for Joint Word Segmentation and POS Tagging
BiaffineDParser
BiAffine Dependency Parsing
PyTorchText
1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
dynmt-py
Neural machine translation implementation using dynet's python bindings
pytorch-tools
Tools for PyTorch
word2vec-fastText
word2vec from fastText