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๐Ÿง‘โ€๐Ÿซ 59 Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

Home Page: https://nn.labml.ai

License: MIT License

Python 45.01% Makefile 0.06% Jupyter Notebook 54.94%

annotated_deep_learning_paper_implementations's Introduction

AshfakYeafi


Hi , I'm Ashfak

I'm a passionate Machine Learning Developer from Bangladesh.


๐Ÿ™‹โ€โ™‚๏ธ About Me

  • ๐ŸŒฑ Iโ€™m currently learning Machine Learning Algorithms.

  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on Machine Learning Projects

  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available at My Portfolio

  • ๐Ÿ“ซ How to reach me [email protected]

  • โšก Fun fact I loves to watch anime.

{...} My Stack

{
   "languages": ["Python","Dart","C","C++"],
   "ai framework":["Keras","PyTorch","Scikit-learn","PySpark","TensorFlow","Tensorflow Lite"],
   "experimenting": ["Kotlin"],
   "OS system":["Linux","ROS (Robot Opreting System"],
   "Software/Tools":["VS code","Android Studio","Gazebo","Fusion 360","PyCharm"],
   "Version Control":["Git","Github"]
}

๐Ÿš€ Languages and Tools:


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