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Awesome GitHub RepositoriesReinforcement Learning Data Filters
Systems for selecting high-quality reasoning traces for reinforcement learning.
Distinguishing note: Specifically filters model outputs based on reasoning quality for RLHF/RL workflows.
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Awesome Reinforcement Learning Data Filters GitHub Repositories
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- huggingface/open-r1
huggingface/open-r1
25,887View on GitHubOpen-r1 is a framework designed for the large-scale training, distillation, and optimization of language models focused on complex reasoning and programming tasks. It provides a comprehensive suite of tools for managing distributed training jobs across multi-node clusters, enabling the development of high-performance models through reinforcement learning and supervised fine-tuning. The project distinguishes itself by integrating secure, containerized code execution environments directly into the training and evaluation lifecycle. By allowing models to run and verify code snippets against test
Applies specific criteria to model outputs to select high-quality or relevant reasoning traces for reinforcement learning.
Python
