Apache License 2.0

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

MIT License

sgan

       In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stockpredictionai

🧑‍🏫 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, ... 🧠

annotated_deep_learning_paper_implementations

Generative AI Image Toolset with GANs and Diffusion for Real-World Applications

Other

joliGEN

A curated list of resources related to training of GANs

Awsome-GAN-Training

Curated list of awesome GAN applications and demo

gans-awesome-applications

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

context-encoder

A macOS app to parse face landmarks from a video for training GANs

gan