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aproject

cmlab

website source for the computational media lab

flask_react_template

folium

Python Data. Leaflet.js Maps.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

lasagne

Lightweight library to build and train neural networks in Theano

morphadorner_wrapper

nltk

NLTK Source

pymc3

Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.

pynlpl

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

pyreadability

pystruct

Simple structured learning framework for python

scikit-learn

scikit-learn: machine learning in Python

scikit-rvm

Relevance Vector Machine implementation using the scikit-learn API.

semstyle_examples

sentence-emb

subword-nmt

Subword Neural Machine Translation

testp

textstat

calculate statistics of text