#计算机科学#Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
The deeplearning algorithms implemented by tensorflow
#计算机科学#Boltzmann Machines in TensorFlow with examples
#计算机科学#NeuPy is a Tensorflow based python library for prototyping and building neural networks
#计算机科学#Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
#计算机科学#Restricted Boltzmann Machines (RBMs) in PyTorch
#计算机科学#Unsupervised learning and generative models in python/pytorch.
#计算机科学#My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
#学习与技能提升#Machine Learning Library, written in J
#计算机科学#Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
A book recommender system created using simple Restricted Boltzmann Machines in TensorFlow
#计算机科学#Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
https://github.com/mehulrastogi/Deep-Belief-Network-pytorch
🔎 Neural Network Quantum State Tomography (based on https://www.nature.com/articles/s41567-018-0048-5)
#计算机科学#Train and sample Restricted Boltzmann machines in Julia
#计算机科学#Deep Learning Models implemented in python.
.NET Standard SDK to send messages with CM.com