Create a kaleidoscope based on a dataset

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

A latent text-to-image diffusion model

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Diverse Video Generation using a Gaussian Process Trigger

GLAD: Learning Sparse Graph Recovery

Gene Regulatory Network reconstruction using Unrolled algorithms

Cooperative Neural Networks

Sparse graph recovery by optimizing deep unrolled networks (unsupervised-GLAD)

python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"