Chris Dyer's lab @ LTI/CMU's repositories
fast_align
Simple, fast unsupervised word aligner
dynet_tutorial_examples
Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016
stack-lstm-ner
NER system based on stack LSTMs
lstm-parser
Transition-based dependency parser based on stack LSTMs
wikipedia-parallel-titles
Tools for extracting parallel corpora from article titles across languages in Wikipedia
clab-autodiff-examples
Examples of using the adept autodifferentiation library for standard NLP learning problems
sp2016.11-731
Master repository for CMU Machine Translation (11-731) in Spring 2016
sp2014.11-731
Master repository for Machine Translation (11-731) in Spring 2014
ark-tweet-nlp
CMU ARK Twitter Part-of-Speech Tagger
cuda-teaching
Some CUDA examples
sp2015.11-731
Master repository for CMU Machine Translation (11-731) in Spring 2015
aggregate-sp2014-11731
Aggregation of student repositories
aggregate-sp2015-11731
aggregate-sp2015-11731
aggregate-sp2016-11731
aggregator repository for student submissions
minerva
Minerva: a fast and flexible tool for deep learning. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy. Please refer to the examples to see how multi-GPU setting is used.
UD_Hebrew-HTB
Hebrew Universal Dependencies Treebank