#计算机科学#Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
翻译 - 生成模型的集合,例如GAN,Pytorch和Tensorflow中的VAE。
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#Deep Learning Models implemented in python.
#计算机科学#Train and sample Restricted Boltzmann machines in Julia
Millions of businesses rely on SMS to communicate with mobile consumers. Credit card fraud alerts, flight status updates, and package delivery notifications are common examples of business-to-consumer...