aktasumitt

Bart_Model_from_Scratch

We Create Bart Model

Diffusion_Model

We Create Diffusion Model for generate image from noise

aktasumitt

Transformer_Model_From_Scratch

We create a custom Transformer model for translate text from Turkish to English.

VAE_and_VQ-VAE

We create Variational Autoencoders (VAE) with Mnist and Vector Quantize Variational Autoencoder with Cifar10

Pix2Pix_Model

We used Pix2Pix model with UT-Zappos50K dataset.

DC_GANs_with_Wasserstein-GP

We train DC_GANs with Wasserstein-GP method with CIFAR10 dataset

Conditional_DC_GANs

We Use Conditional DC_GANs to generate image acording to label

Simple_Generative_Adverserial_Networks

We use GANs model to generate image that is handwritten digit of Mnist dataset from random noise

Translate_Audio_English_To_Turkish

We Use Concatinate three models for translate speech from English to Turkish

Translate_Audio_Turkish_To_English

We use three concatinated models for translate speech Turkish to Engish

ResNet34_Transferlearning

We use transfer learning method with ResNet34 Model and Cifar10 Dataset.

Pytorch_Lightning

We use Pytorch lightning with CNN model and FashionMnist Dataset

Sequence-to-Sequence_Model

I create sequence to sequence model with Bahdanau attention and custom sequnce dataset.

CNN_With_Tensorboard

We use Tensorboard with custom CNN model and Animals dataset in this project.

Basic_CNN_Model

I trained American Sign Language Alphabet dataset with custom basic CNN model