aarsh2001/annotated_deep_learning_paper_implementations

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

Hey there 👋, I'm Aarsh 👓

By integrating cutting-edge computer vision techniques with advanced compiler technologies, I strive to develop innovative solutions that bridge the gap between perception and action.

• 📚 I'm currently pursing an MSc Computer Graphics, Vision and Imaging at UCL

• 🔭 I’m currently working at Ivy

• 🌱 I’m currently learning LLVM and MLIR toochains

• 👯 I’m looking to collaborate on LibTVM

• 💬 Ask me about Deployment ☁️, Inference Engines ⚙️ and Compilers 🛠

• 📫 How to reach me [email protected]

• 📌 If you're an AI enthusiast like me, do the join our Paper Reading Group at Ivy !

• ⚡ Fun fact I'm a drummer with a liking for metal music. Drum covers on IG !

• 🏔🏜🌊 You can find me vacationing every now and then. Follow me on Pinterest to have a look at my world 🙂 !

A bit of Tech Blogging 📝🤓

• Ivy - Unifying ML with One Line Of Code
• P-Value A Statistician’s Buzzword

Connect with me:

Languages, Libraries and Tools: