real time face swap and one-click video deepfake with only a single image
- ai-face
- deepfake
- video-deepfake
- deepfake-webcam
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real time face swap and one-click video deepfake with only a single image
🧑🏫 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, ... 🧠
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Official Code for DragGAN (SIGGRAPH 2023)
SOTA Open Source TTS
Image-to-Image Translation in PyTorch
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
PyTorch implementations of Generative Adversarial Networks.
Machine learning, in numpy
StyleGAN - Official TensorFlow Implementation
A MNIST-like fashion product database. Benchmark :point_down:
StyleGAN2 - Official TensorFlow Implementation
An elegant PyTorch deep reinforcement learning library.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Interactive Image Generation via Generative Adversarial Networks
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
learn code with tensorflow
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
Generative Adversarial Text to Image Synthesis / Please Star -->