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driving_fatalities

Case study in state fatality rates using partial pooling with PyMC3

evren-bot

gpplayground

experimenting with gp ideas

heise

Heisenberg: mapping complex cell receptive fields in full-field natural movies

hydra

jax

ica

Code for two-layer and subspace Independent Component Analysis

models

Models and examples built with TensorFlow

neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pylearn2

A Machine Learning library based on Theano

sm

Score Matching

sparco

Convolutional Sparse Coding

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

srbm

Ising, RBM and sRBM model estimation with MPF and evaluation with AIS

tensorflow

Computation using data flow graphs for scalable machine learning

tpu

Reference models and tools for Cloud TPUs.