#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。
#计算机科学#Boltzmann Machines in TensorFlow with examples
#计算机科学#The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics...
#计算机科学#Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boos...
#计算机科学#Neural Network Many-Body Wavefunction Reconstruction
#计算机科学#Restricted Boltzmann Machines (RBMs) in PyTorch
This repository has implementation and tutorial for Deep Belief Network
The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.
#计算机科学#Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow
An implementation of Restricted Boltzmann Machine in Pytorch
A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch
#计算机科学#Simple code tutorial for deep belief network (DBN)
#计算机科学#A Julia package for training and evaluating multimodal deep Boltzmann machines
Implementation of G. E. Hinton and R. R. Salakhutdinov's Reducing the Dimensionality of Data with Neural Networks (Tensorflow)
A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
#算法刷题#algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network
#计算机科学#Pytorch implementation of an autoencoder built from pre-trained Restricted Boltzmann Machines (RBMs)
Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines
Restricted Boltzmann Machines as Keras Layer