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
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Sequential regulatory activity predictions with deep convolutional neural networks.
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Threads for Lua and LuaJIT. Transparent exchange of data between threads is allowed thanks to torch serialization.
Code for predicting the NCAA College Basketball 'March Madness' tournament