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opennmt

Open-Source Neural Machine Translation in Torch

opennmt-py

Open-Source Neural Machine Translation in PyTorch http://opennmt.net/

predictionet

This package contains a set of functions related to network inference combining genomic data and prior information extracted from biomedical literature and structured biological databases.The main function is able to generate networks using bayesian or regression-based inference methods; while the former is limited to < 100 of variables, the latter may infer network with hundreds of variables. Several statistics at the edge and node levels have been implemented (edge stability, predictive ability of each node, ...) in order to help the user to focus on high quality subnetworks. Ultimately, this package is used in the 'Predictive Networks' web application developed by the Dana-Farber Cancer Institute in collaboration with Entagen

pyalgotrade

Python Algorithmic Trading Library

saleable-returns

tcga.github.com

web computing toolbox for The Cancer Genome Atlas (TCGA)

tensorboard

Standalone TensorBoard for visualizing in deep learning

tensorflow

Computation using data flow graphs for scalable machine learning

unofficial-google-trends-api

Python-based API that uses the http site to download Google Trends data