Pytorch based codes. Implementations of most popular algorithms at present.
./MultinomialLogisticRegression_NeuralNetwork
: Neural Network with L1 and L2 penalty;
./MultinomialLogisticRegression_NeuralNetwork
: Logistic Regression;
./Resnet_CNN
: Resnet, CNN forward implementation from scratch;
./Audio_processing_RNN_GRU_LSTM
: RNN, GRU, LSTM for autio signal processing;
./AE_VAE_CAE_CVAE
: Autoencoder (AE), Convolutional Autoencoder (CAE);
./AE_VAE_CAE_CVAE
: Variational Autoencoder (VAE), Convolutional Variational Autoencoder (CVAE);
./CAE_CGAN
: Deep Convolutional GAN (DCGAN);
./GaussianProcess
: Gaussian Process;
./Bayesian_Optimization
: Bayesian Optimization for Neural Network hyperparameters searching;
./Sampling
: Metropolis-Hastings Sampling, Gibbs Sampling;
./NLP_Offensive_Language_Detection
./Forests_Boosting
: Random Forests, Decision Tree, Adaboosting;