Statistics for topic gan
RepositoryStats tracks 518,991 Github repositories, of these 489 are tagged with the gan topic. The most common primary language for repositories using this topic is Python (344). Other languages include: Jupyter Notebook (89)
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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, ...), gan...
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
List of protein (enzymes and PPIs) conformations and molecular dynamics using generative artificial intelligence and deep learning
HyMPS will be a platform-indipendent software suite for advanced audio/video contents production.
This is an inpainting website base on EdgeConnect/这是一个基于EdgeConnect的图像修复网站
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
PassGAN source code for Python 3 & TensorFlow 1.13 with a pre-trained model. https://arxiv.org/abs/1709.00440
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan...
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
List of protein (enzymes and PPIs) conformations and molecular dynamics using generative artificial intelligence and deep learning
HyMPS will be a platform-indipendent software suite for advanced audio/video contents production.
This is an inpainting website base on EdgeConnect/这是一个基于EdgeConnect的图像修复网站
[WACV 2024] "CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer"
Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan...
《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
List of protein (enzymes and PPIs) conformations and molecular dynamics using generative artificial intelligence and deep learning
[WACV 2024] "CVTHead: One-shot Controllable Head Avatar with Vertex-feature Transformer"
HyMPS will be a platform-indipendent software suite for advanced audio/video contents production.
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
The official code of our ICCV2023 work: Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation
[ICCV 2023] BlendFace: Re-designing Identity Encoders for Face-Swapping https://arxiv.org/abs/2307.10854
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan...
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
so-vits-svc fork with realtime support, improved interface and more features.
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
[ICCV 2023] BlendFace: Re-designing Identity Encoders for Face-Swapping https://arxiv.org/abs/2307.10854
A toolbox for deep learning model deployment using C++ YoloX | YoloV7 | YoloV8 | Gan | OCR | MobileVit | Scrfd | MobileSAM
The official code of our ICCV2023 work: Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation
