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boltzmann-machines

Boltzmann Machines in TensorFlow with examples

cvpr2015

demos

Demos and tutorials around Torch7.

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

docker-on-windows

Code samples for the book "Docker on Windows", published by Packt.

dockerfiles

Compilation of Dockerfiles with automated builds enabled on the Docker Registry

dp

A deep learning library for streamlining research and development using the Torch7 distribution.

ipam-tutorials

IPAM Tutorials on Theano/Torch

itorch-docker

Dockerfile for itorch

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

practicalai

A practical approach to learning machine learning.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rbm-ae-tf

Tensorflow implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.

rbm_toolbox_lua

Port of RBM_toolbox to lua

torch-decisiontree

This project implements random forests and gradient boosted decision trees (GBDT). The latter uses gradient tree boosting. Both use ensemble learning to produce ensembles of decision trees (that is, forests).

torch-in-action

Code for the Torch in Action book

torch-machine-learning-with-torch

Collection of simple machine learning algorithms for Torch

torch-toolbox

A collection of snippets and libraries for Torch from e-Lab

torch7

http://torch.ch

tutorials

PyTorch tutorials.