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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, ... 🧠

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

drl4fjsp

Deep reinforcement learning methods for flexible job shop scheduling problems

end-to-end-drl-for-fjsp

This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

fjsp-drl

garage

A toolkit for reproducible reinforcement learning research.

il_pfss

l2d

Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"