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James Hensman

Login: jameshensman

Company: PROWLER.io

Location: Cambridge, UK

Bio: Senior machine learning scientist at PROWLER.io

Blog:

Member of

Sheffield Machine Learning Software (ML@SITraN)

Repositories

cgt: Computation Graph Toolkit
cholesky: null
GPclust: Clustering time series using Gaussian processes and Variational Bayes.
GPflow: Gaussian processes in tensorflow
GPy: Gaussian processes framework in python
jameshensman.github.io: github pages
jug: Parallel programming with Python
machine_learning_class: null
my-vimrc: vimrc using pathogen
paramz: Parameterization Framework for parameterized model creation and handling.
pyGP: Gaussian Processes in python
pymc: PyMC: Bayesian Stochastic Modelling in Python
pymc3: PyMC version 3
pythonGPLVM: Implementation of the GPLVM algorithm in python
pyvb: Variational Bayesian Networks in python
tensorflow: Computation using data flow graphs for scalable machine learning
Theano: Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
VFF: Variational Fourier Features
WalkingRandomly: A repository for example code discussed on WalkingRandomly.com

Commits To

Repository	Most Recent Commit	# Commits

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.