nitishsrivastava

deepnet

Implementation of some deep learning algorithms.

cudamat

Python module for performing basic dense linear algebra computations on the GPU using CUDA.

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

nitishsrivastava.github.io

commavq

commaVQ is a dataset of compressed driving video

gym

A toolkit for developing and comparing reinforcement learning algorithms.

tensorflow

Computation using data flow graphs for scalable machine learning