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Dan Marthaler's Projects

abocpd icon abocpd

Python implementation of "Adaptive Sequential Bayesian Change Point Detection" algorithm (Turner, et.al)

bp-ar-hmm icon bp-ar-hmm

Straight port of Emily Fox's Beta Process Auto Regressive Hidden Markov Model package

entropysearch icon entropysearch

Code for Entropy Search, as described in http://arxiv.org/abs/1112.1217

gpflow icon gpflow

Gaussian processes in TensorFlow

gpts icon gpts

Gaussian Process Time Series (port of Ryan Turner thesis work)

gpy icon gpy

Gaussian processes framework in python

gpyopt icon gpyopt

Gaussian Process Optimization using GPy

incubator-superset icon incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

jax-pilco icon jax-pilco

An Implementation of the Probabilistic Inference for Learning Control (PILCO) in Jax

keras icon keras

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

mogpjax icon mogpjax

Didactic multi-output Gaussian Processes in Jax.

pygpspr icon pygpspr

pyGPs is a library under development containing python implementations for Gaussian Processes (GPs).

reading-text-in-the-wild icon reading-text-in-the-wild

A Keras/Theano implementation of "Reading Text in the Wild with Convolutional Neural Networks" by M Jaderberg et.al.

scipy icon scipy

Scipy library main repository

spearmint icon spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

timegan icon timegan

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

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