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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
PythonMeta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
PythonPlaying Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)
PythonReimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
PythonPlaying Wechat Jump Game with End-to-End Convolutional Neural Networks
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🔥 Full roast
🔥 13 years on GitHub with a 39k-star paper roadmap, 1k+ star DRL repos, 202 merged PRs with zero rejections, and even awesome-list contributions are minimal and legit — his stats are so good I’m out of