Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
The deeplearning algorithms implemented by tensorflow
Boltzmann Machines in TensorFlow with examples
NeuPy is a Tensorflow based python library for prototyping and building ...
Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
Machine learning algorithms for many-body quantum systems
Tensorflow implementation of the Restricted Boltzmann Machine
Unsupervised learning and generative models in python/pytorch.
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
💡 Learnergy is a Python library for energy-based machine learning models.
Implementation of Restricted Boltzmann Machine (RBM) and its variants in...
Machine Learning Library, written in J
A book recommender system created using simple Restricted Boltzmann Mach...
Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN...