ML Application · Python
CQC
What it is
CQC is a reinforcement learning project that trains multi-agent agents using a custom transformer-based architecture with convolutional encoding and auxiliary decoders in a grid-based environment. It implements PPO with self-play and distributed TPU training via torch_xla.
Where it counts
- Machine Learning80%
- AI Agents70%
- MLOps40%
- Computer Vision20%
- NLP & LLMs20%
- Data Science10%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
Around it on the Machine Learning board
Whole board- 37, shared rankASTROTraining Experiment · Python55.3ImplementationPop AlexandruMachine Learning
- 37, shared rankdialoqbase-I6eLML Application · TypeScript55.3ImplementationPetr SovadinaMachine Learning
- 39, shared ranktc-livive-orgEducational Implementation · HTML54.8ImplementationJarad PeckenpaughMachine Learning
- 39, shared rankCQCML Application · Python54.8ImplementationMinsung SkystarryMachine Learning
- 41ai_chat_distil_01ML Application · HTML54.3ImplementationJarad PeckenpaughMachine Learning