Theano
Theano is a generic mathematical expression evaluation library. The main advantage is, it compiles to either CPU or GPU. By default it uses cpu.
Download from http://deeplearning.net/software/theano/
Pylearn2
Pylearn2 is based on theano. So you can get advantage of running on GPU.Download from https://github.com/lisa-lab/pylearn2
Models
- Logistic Regression
- K-means
- Multilayer Perceptron (MLP)
- Restricted Boltzmann Machines (RBM)
- Deep Boltzmann Machines (DBM)
- Ising
- Auto Encoder: Autoencoders, denoising autoencoders, and stacked DAEs.
- Maxout Networks (Maxout)
Hebel
It is also GPU accelerated deep learning library. Its based on PyCuda.Models
- Logistic Regression
- Neural network regression
- Muti-Task neural net
Deepnet
GPU accelerated. Based on cudamat.
Models
- Feed-forward Neural Nets
- Restricted Boltzmann Machines
- Deep Belief Nets
- Autoencoders
- Deep Boltzmann Machines
- Convolutional Neural Nets
Download from https://github.com/nitishsrivastava/deepnet
Others
Python tutorial on Restricted Bolzmann Machines - https://github.com/echen/restricted-boltzmann-machines
Modular Restricted Bolzmann machine implementation. Its based on theano. https://github.com/benanne/morb
Matrix Library for cuda - https://github.com/deeplearningais/CUV
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