Pinned Repositories
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
Algorithmv2
autorec
Autorec is used in recommender systems. This is my implementation of autorec to predict the movies which a person can be interested based on the other people.
cft4cpp-core
clustering
k-means, soft k-means, etc.
hidden-markov-model
Hidden markov model
reinforcement-learning
exploit-explore dilemma solution, tic tac toe implementation, etc.
restricted-boltzmann-machine
The implementation of rbm
siamese_network
Variational-Autoencoder
My implementation of Variational Autoencoder
ducanhnguyen's Repositories
ducanhnguyen/clustering
k-means, soft k-means, etc.
ducanhnguyen/autorec
Autorec is used in recommender systems. This is my implementation of autorec to predict the movies which a person can be interested based on the other people.
ducanhnguyen/hidden-markov-model
Hidden markov model
ducanhnguyen/cft4cpp-core
ducanhnguyen/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
ducanhnguyen/Algorithmv2
ducanhnguyen/reinforcement-learning
exploit-explore dilemma solution, tic tac toe implementation, etc.
ducanhnguyen/restricted-boltzmann-machine
The implementation of rbm
ducanhnguyen/siamese_network
ducanhnguyen/Variational-Autoencoder
My implementation of Variational Autoencoder
ducanhnguyen/autoencoder
Autoencoder is a technique to reduce dimensionality. This is my implementation of autoencoder.
ducanhnguyen/batchnormalization
Implementation of batch normalization to avoid overfitting
ducanhnguyen/cft4cpp-for-dummy
ducanhnguyen/Conditional-Variational-Autoencoder
My implementation of conditional variational autoencoder
ducanhnguyen/convolutional-neural-network
The implemention of CNN algorithms, etc.
ducanhnguyen/DeepConcolic
Concolic Testing for Deep Neural Networks
ducanhnguyen/deepcover
DeepCover: Uncover the truth behind AI
ducanhnguyen/deepxplore
DeepXplore code release
ducanhnguyen/dropout
Dropout is one of the most popular regularization techniques to avoid overfitting. This is my implementation of dropout based on the original paper.
ducanhnguyen/ensemble
Ensemble methods (randomforest, bagging, adaboost, etc.)
ducanhnguyen/GUIGenDB
ducanhnguyen/HelloGdb-mi
ducanhnguyen/HelloTensorflow
Some interesting portions of source code retrieving from https://www.coursera.org/learn/custom-models-layers-loss-functions-with-tensorflow/home/welcome
ducanhnguyen/machine-learning-implementation
ducanhnguyen/machine_learning_examples
A collection of machine learning examples and tutorials.
ducanhnguyen/mydeepconcolic
ducanhnguyen/nlp
spam checking, review classifier, etc.
ducanhnguyen/NLP-basedTestScriptGenerator
ducanhnguyen/report-neural-network-attack
ducanhnguyen/shap
A unified approach to explain the output of any machine learning model.