Gan
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A collection of 60+ annotated PyTorch implementations of deep learning papers with side-by-side explanatory notes.
Interactive point-based manipulation tool for editing GAN-generated images by dragging points to target positions.
A drop-in replacement for the MNIST dataset, featuring 70,000 Zalando fashion article images for benchmarking machine learning algorithms.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.
Implementation of SRGAN for photo-realistic single image super-resolution using generative adversarial networks.
A curated list of academic papers and resources for image and video inpainting techniques.
A collection of models, callbacks, and datasets to extend PyTorch Lightning for applied AI/ML research and production.
A Python package for generating synthetic tabular and time-series data using state-of-the-art generative models like GANs and Gaussian Mixtures.
A collection of TensorFlow tutorials and examples covering image classification, GANs, text classification, and model deployment.
A curated collection of research papers on molecular and material design using generative AI and deep learning techniques.
A visible-infrared paired dataset for low-light vision tasks like pedestrian detection, image fusion, and image-to-image translation.
TensorFlow implementation of GAN-CLS algorithm for generating images from text descriptions using adversarial networks.
A Python library for generating high-quality synthetic tabular data using GANs, diffusion models, and large language models.
An AI-powered captcha solver using SimGAN to generate synthetic training data without manual labeling.
A minimal implementation of Deep Convolutional Generative Adversarial Networks (DCGAN) using TensorLayerX for generating realistic images.
An integrated framework for training custom generative AI image-to-image models using GANs, Diffusion, and Consistency Models.
A curated list of resources for makeup and hairstyle transfer research using computer vision and generative AI.
A TensorLayer re-implementation of CycleGAN with improvements like resize-convolution and instance normalization.
An implementation of unsupervised image-to-image translation using Generative Adversarial Networks (GANs).
NALP is a Python library for natural language processing and adversarial learning, from embeddings to neural networks.
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