moein-shariatnia

OpenAI-CLIP

Simple implementation of OpenAI CLIP model in PyTorch.

Deep-Learning

In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

Pix2Seq

Simple Implementation of Pix2Seq model for object detection in PyTorch

CodeCup6_solutions

My solutions to Code Cup 6 competition on Quera sponsored by Snapp Group

MSK

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Image-Captioning

moein-shariatnia.github.io

molokai

Molokai color scheme for Vim

OCR

prog_qs

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

PyTorch-Trainer

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

ShellTools

Useful shell scripts I use frequently in terminal.

SLIP

Code release for SLIP Self-supervision meets Language-Image Pre-training

tools

some code snippets and useful codes

Transformer