An implementation of GRPO for Unsloth's VLMs training
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Aug 7, 2025 - Python
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grpotrainer
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PARL (Parallel-Agent Reinforcement Learning) is a training paradigm that teaches models to decompose complex tasks into parallel subtasks and coordinate multiple agents simultaneously.
reinforcement-learning ai ml multi-agent rl swarms agents kimi rlhf agentic deepseek grpo grpotrainer subagents moonshotai
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Mar 24, 2026 - Python
Your efficient and accurate answer verification system for RL training.
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Jun 23, 2025 - Python
simpleR1: A Simple Framework for Training R1-like Models
reinforcement-learning ppo trl deepseek-r1 grpo r1-zero grpotrainer reinforcement-learning-with-verifiable-rewards
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Aug 12, 2025 - Python
Recreating the minimal training methods of DeepSeek-R1 for small langauge models.
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Feb 10, 2025 - Python
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May 8, 2025 - Python
Public showcase of NovaLiveSystem: a biomimetic cognitive architecture with interoception and distributed intelligence.
computer-science ai computer-vision ml developer-tools adaptive-learning autonomous-agents cognitive-systems human-centered-ai sota-technique ai-research-and-development grpotrainer biomimetic-ai
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Mar 5, 2026
This project implements the reasoning training pipeline introduced in the DeepSeek-R1 paper, applying Group Relative Policy Optimization (GRPO) to teach a 7B language model to reason step-by-step through mathematical problems.
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May 13, 2026 - Python
Teaching Llama 3.2 1B emotional self-awareness via GRPO and a real emotion classifier. A reproducible, low-cost pipeline for calibrating an LLM's affective state and aligning its response tone.
emotional-intelligence supervised-machine-learning finetuning self-awareness emotion-classifier large-language-models llm supervised-finetuning finetuning-llms finetuning-large-language-models llama3-2 grpo grpotrainer self-aware-ai grpo-training
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Jul 14, 2026 - Jupyter Notebook
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