Pinned Repositories
aex
Andrei's experimental Torch code. Use with care!
andreirusu
Config files for my GitHub profile.
csv2torch-datasets
Converts Kaggle csv files to torch-datasets.
cuda-convnet
Fork of Alex Krizhevsky's GPU code for convolutional nets.
image
An Image toolbox for Torch.
lua---parallel
A (simple) parallel computing framework for Lua
maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
mvpa-utils
Tools for MVPA processing built on SPM8 and PyMVPA v2
nnetdemo
Neural network demos.
torch-datasets
A collection of machine learning datasets for use with Torch7.
andreirusu's Repositories
andreirusu/csv2torch-datasets
Converts Kaggle csv files to torch-datasets.
andreirusu/cuda-convnet
Fork of Alex Krizhevsky's GPU code for convolutional nets.
andreirusu/nnetdemo
Neural network demos.
andreirusu/aex
Andrei's experimental Torch code. Use with care!
andreirusu/torch-datasets
A collection of machine learning datasets for use with Torch7.
andreirusu/andreirusu
Config files for my GitHub profile.
andreirusu/image
An Image toolbox for Torch.
andreirusu/lua---parallel
A (simple) parallel computing framework for Lua
andreirusu/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
andreirusu/mvpa-utils
Tools for MVPA processing built on SPM8 and PyMVPA v2
andreirusu/netlogo-cluster-viewer
NetLogo 3D model which can be used to view data clusters in 3D renderings of datasets and arbitrary latent representations.
andreirusu/nn
andreirusu/nrb
Neural Representation Benchmark: supporting code
andreirusu/PyMVPA
MultiVariate Pattern Analysis in Python
andreirusu/spearmint
Fork of Spearmint, a piece of software which performs 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
andreirusu/torch7-demos
Demos and tutorials around Torch7.
andreirusu/unsup
Some unsupervised learning modules using Torch