Taming Transformers for High-Resolution Image Synthesis

NYU Deep Learning Spring 2020

Scalable and user friendly neural 🧠 forecasting algorithms.

"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]

Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

A Collection of Variational Autoencoders (VAE) in PyTorch.

The official re-implementation of the Neurips 2021 paper, "Targeted Neural Dynamical Modeling".

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…