JasperSnoek

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

Machine-March-Madness

Code for predicting the NCAA College Basketball 'March Madness' tournament

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

basenji

Sequential regulatory activity predictions with deep convolutional neural networks.

jaspersnoek.github.io

threads

Threads for Lua and LuaJIT. Transparent exchange of data between threads is allowed thanks to torch serialization.