monicaarnaud/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, ... 🧠

• 👋 Hi, I’m @MonicaArnaud
• 👀 I’m interested in foreign languages and computer languages
• 🌱 I’m currently learning Russian, Japanese, Python, Machine learning, NLP, Javascript and Solidity, my next step is to build some interesting translation assisted tools, machine learning and Web 3.0 applications.
• 💞️ I’m looking to collaborate on developping AI tools for translation, including but not limited to speech to text and translation, extract table from image and scaned PDF.
• 📫 You can reach me at [email protected]