Classic Source Code collected

Collection of some classic source code, continuous UPDATE!!!

1. Depth Learning Framework (deep learning framework).

A:caffe (convolutional Architecture for Fast Feature embedding) convolutional

Open source deep Learning code developed by Yangqing Jia Ph.D, Berkeley University.

homepage:http://caffe.berkeleyvision.org/

Paper:Caffe:Convolutional Architecture for Fast Feature embedding

Source code:1) BLVC Caffe (Linux,mac OSX): Https://github.com/BVLC/caffe

2) Microsoft Caffe (Windows): Https://github.com/Microsoft/caffe

2. Relationship extraction (neural Relation Extraction)

Relationship extraction is an important technique in the construction of knowledge map, which is designed to extract entity relationship automatically from text.

The source code includes CNN, PCNN, and the attention over instances model we proposed in ACL 2016 Cnn+att, Pcnn+att.

The source code is developed by Lin Yuakei students.

(Neural Relation Extraction, including CNN, PCNN, Cnn+att, Pcnn+att)

Paper:http://thunlp.org/~lyk/publications/acl2016_nre.pdf

Source code:https://github.com/thunlp/nre

Classic Source Code collected