shgaurav1

generative-kaleidoscopic-networks

Create a kaleidoscope based on a dataset

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, ... 🧠

stable-diffusion

A latent text-to-image diffusion model

vit-pytorch

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

DVG

Diverse Video Generation using a Gaussian Process Trigger

GLAD

GLAD: Learning Sparse Graph Recovery

GRNUlar

Gene Regulatory Network reconstruction using Unrolled algorithms

CoNN

Cooperative Neural Networks

uGLAD

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

Lighting-the-Darkness-in-the-Deep-Learning-Era-Open

Single-Image-Dehazing-Python

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