real time face swap and one-click video deepfake with only a single image
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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Image-to-Image Translation in PyTorch
A list of all named GANs!
A MNIST-like fashion product database. Benchmark :point_down:
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Your Friendly Open-Source Gen-AI Platform
Interactive Image Generation via Generative Adversarial Networks
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Synthetic data generators for tabular and time-series data
learn code with tensorflow
Generative Adversarial Text to Image Synthesis / Please Star -->
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
The Simplest DCGAN Implementation
Re-implement CycleGAN in Tensorlayer
Unsupervised Image to Image Translation with Generative Adversarial Networks