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 neural networks

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

Restricted Boltzmann Machines (RBMs) in PyTorch

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.

The aim of this repository is to create RBMs, EBMs and DBNs in generalized manner, so as to allow modification and variation in model types.

Machine Learning Library, written in J

Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

A book recommender system created using simple Restricted Boltzmann Machines in TensorFlow

Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.

Tensorflow Examples

https://github.com/mehulrastogi/Deep-Belief-Network-pytorch

🔎 Neural Network Quantum State Tomography (based on https://www.nature.com/articles/s41567-018-0048-5)

Deep Learning Models implemented in python.

Train and sample Restricted Boltzmann machines in Julia

This is to create a repos for movie rating prediction. It covers 3 use cases.