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gan

Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.

Here are 4,278 public repositories matching this topic...

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

  • UpdatedAug 24, 2024
  • Python
AI-For-BeginnersGFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

  • UpdatedJul 26, 2024
  • Python

深度学习入门教程, 优秀文章, Deep Learning Tutorial

  • UpdatedApr 21, 2022
  • Jupyter Notebook

A list of all named GANs!

  • UpdatedOct 6, 2023
  • Python

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

  • UpdatedSep 12, 2023
  • Lua

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)

  • UpdatedDec 24, 2023
  • Jupyter Notebook

Keras implementations of Generative Adversarial Networks.

  • UpdatedDec 12, 2022
  • Python
lama

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.

  • UpdatedJul 3, 2024
  • Python

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

  • UpdatedMar 24, 2024
  • Python
TensorLayer

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

  • UpdatedJan 6, 2021
  • JavaScript

Released June 10, 2014

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deep-learning neural-network

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