nitishsrivastava

cudamat

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

commavq

commaVQ is a dataset of compressed driving video

cudamat

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

deepnet

Implementation of some deep learning algorithms.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

nitishsrivastava.github.io

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

tensorflow

Computation using data flow graphs for scalable machine learning

convnet

A GPU implementation of Convolutional Neural Nets in C++

TorontoDeepLearning.github.io

Webpage for Toronto Deep Learning Code

nitishsrivastava/deepnet

Implementation of some deep learning algorithms.

nitishsrivastava/cudamat

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

nitishsrivastava/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/commavq

commaVQ is a dataset of compressed driving video

nitishsrivastava/gym

A toolkit for developing and comparing reinforcement learning algorithms.

nitishsrivastava/nitishsrivastava.github.io

nitishsrivastava/tensorflow

Computation using data flow graphs for scalable machine learning