v1.9.0

version for LibTorch-1.9.0

v1.8.1

version for LibTorch-1.8.1

Implementation
+Discriminator (Multiclass Classification) : Discriminator
+Autoencoder (Dimensionality Reduction) : AE1d

v1.8.0

version for LibTorch-1.8.0

Implementation
+YOLOv1 (Object Detection) : YOLOv1
+YOLOv2 (Object Detection) : YOLOv2

v1.7.1

version for LibTorch-1.7.1

v1.7.0

version for LibTorch-1.7.0

Implementation
+AlexNet (Multiclass Classification) : AlexNet
+VGGNet (Multiclass Classification) : VGGNet
+ResNet (Multiclass Classification) : ResNet
+Denoising Autoencoder (Dimensionality Reduction) : DAE2d
+Wasserstein Autoencoder (Generative Modeling) : WAE2d GAN, WAE2d MMD
+SegNet (Semantic Segmentation) : SegNet
+AnoGAN (Anomaly Detection) : AnoGAN2d
+EGBAD (Anomaly Detection) : EGBAD2d
+GANomaly (Anomaly Detection) : GANomaly2d
+Skip-GANomaly (Anomaly Detection) : Skip-GANomaly2d

v1.6.0

version for LibTorch-1.6.0

Implementation
+DAGMM (Anomaly Detection) : DAGMM2d

v1.5.1

version for LibTorch-1.5.1

Implementation
+Variational Autoencoder (Generative Modeling) : VAE2d
+DCGAN (Generative Modeling) : DCGAN
+U-Net (Image-to-Image Translation) : U-Net Regression
+pix2pix (Image-to-Image Translation) : pix2pix
+U-Net (Semantic Segmentation) : U-Net Classification

v1.5.0

version for LibTorch-1.5.0

Implementation
+Autoencoder (Dimensionality Reduction) : AE2d