SGLang is a high-performance serving framework for large language models and multimodal models.
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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Computational framework for reinforcement learning in traffic control
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Maze Applied Reinforcement Learning Framework