POSTECH-CVLab/PyTorch-StudioGAN Alternatives

calls PyTorch-StudioGAN “choose it when you need a maintained GAN training library with configs rather than annotated educational code.”

🧑‍🏫 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, ... 🧠

calls PyTorch-StudioGAN “unified PyTorch GAN library with common APIs, if you prefer a structured library”

PyTorch implementations of Generative Adversarial Networks.

calls PyTorch-StudioGAN “Modern PyTorch GAN library with many models; choose if you prefer PyTorch over Keras.”

Keras implementations of Generative Adversarial Networks.

calls PyTorch-StudioGAN “Choose when you prefer PyTorch and need a GAN library dedicated to a broad set of generative models; the framework difference means a port is required.”

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

calls PyTorch-StudioGAN “choose when you want a config-driven PyTorch GAN training/evaluation library rather than copy-paste snippets; GAN-only and no recent updates.”

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.