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fayezalhussein's Projects

annotated_deep_learning_paper_implementations icon 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, ... 🧠

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-diffusion-models icon awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-matching Models, a darkhorse in the field of Generative Models

darknet icon darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deit icon deit

Official DeiT repository

fastmri icon fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images.

homemade-machine-learning icon homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

lavis icon lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

llm-course icon llm-course

Course with a roadmap and notebooks to get into Large Language Models (LLMs).

machine_learning_complete icon machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

made-with-ml icon made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.

ml-notebooks icon ml-notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

mlbookcamp-code icon mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

multimodelcnn icon multimodelcnn

Here are the codes for the "Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification using Sentinel-1, Sentinel-2, and LiDAR Data" paper.

notebooks icon notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

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