Deep Learning & Transformer Implementation
6 repos
A Python-heavy cluster focused on implementing and studying deep learning architectures, particularly transformers and sequence models. Repositories span educational implementations with detailed annotations (like paper walkthroughs), production frameworks (Trax for end-to-end deep learning), and applied reinforcement learning systems that use these architectures for tasks like job-shop scheduling. Someone exploring this cluster will find resources ranging from foundational transformer tutorials to practical applications combining RL with neural networks.
Python · 6
reinforcement-learning ·22,182
deep-reinforcement-learning ·22,182
deep-learning ·19,318
machine-learning ·18,694
python ·13,006
a2c ·10,387
advantage-actor-critic ·10,387
atari ·10,387
ale ·10,387
actor-critic ·10,387
