kartikgill / TF2-Keras-GAN-Notebooks
Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
β39Updated 3 years ago
Alternatives and similar repositories for TF2-Keras-GAN-Notebooks:
Users that are interested in TF2-Keras-GAN-Notebooks are comparing it to the libraries listed below
- π Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...β95Updated 4 years ago
- Denoising images with a Deep Convolutional Autoencoder - Implemented in Kerasβ35Updated 5 years ago
- A Tensorflow 2.0 implementation of Squeeze and Excitation ResNet50 Networks (SEResNet)β14Updated 4 years ago
- A TF 2.0 implementation of Progressive growing of GANsβ15Updated 2 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.β37Updated 3 years ago
- Transfer Learning on GANsβ19Updated 4 years ago
- Jupyter Notebook on Conditional GANβ13Updated 5 years ago
- This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.β113Updated 10 months ago
- Improved training of Wasserstein GANsβ45Updated 3 years ago
- Deep Image Inpainting using UNET like Vanilla Autoencoder and Partial Convolution based Autoencoder.β59Updated 4 years ago
- A Modular Pytorch ViTGAN implementationβ11Updated 2 years ago
- Coursera Generative Adversarial Networks (GANs) Specializationβ45Updated 2 years ago
- An application of Self-Attention GANs and DCGAN on mnist dataset.β49Updated 4 years ago
- PyTorch implementation of image deblurring using deep learning. Use a simple convolutional autoencoder neural network to deblur Gaussian β¦β25Updated last year
- Learn how to train SRGAN on Custom datasetβ34Updated 2 years ago
- Conditional Generative Adversarial Networks(cgans) to convert text to image implemented in Python and TensorFlow & Kerasβ10Updated 3 years ago
- β24Updated 3 years ago
- Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO fβ¦β34Updated 2 years ago
- This is a warehouse for MambaVision-Pytorch-model, can be used to train your image-datasets for vision tasks.β10Updated 6 months ago
- Converting images to numpy filesβ27Updated 3 years ago
- Extracting the deep features of the BreakHis dataset from pre-trained GoogLeNet, ResNet-18 and VGG-19 Convolutional Neural Networks (CNNβ¦β10Updated 2 years ago
- β12Updated 4 years ago
- Frechet Inception Distance for Keras-based GANsβ19Updated 5 years ago
- Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasetβ¦β208Updated last year
- PyTorch implements WGAN_GPβ21Updated 4 years ago
- β37Updated last year
- TensorFlow implementation of GANomaly (with MNIST dataset)β10Updated 4 years ago
- PyTorch implements of Auxiliary Classifier GANβ12Updated 2 years ago
- β25Updated 3 years ago
- Evaluated the performance of using different GAN architectures such as FCN-RNN and C-RNN GANs for music generationβ12Updated 4 years ago