yfzhang114/Thyme

• highreadme#1

  Reposition the core project description to the top of the README

  原因：

  当前

  We are excited to introduce **Thyme: Think Beyond Images**. Thyme transcends traditional ``thinking with images'' paradigms by autonomously generating and executing diverse image processing and computational operations through executable code, significantly enhancing performance on high-resolution perception and complex reasoning tasks.

  复制粘贴的修复

  复制

  Thyme is a novel multimodal AI framework that transcends traditional image processing by autonomously generating and executing code for high-resolution perception and complex visual reasoning tasks. Leveraging a two-stage training strategy with supervised fine-tuning and reinforcement learning, empowered by the innovative GRPO-ATS algorithm, Thyme achieves a sophisticated balance between reasoning exploration and code execution precision.

  待办完成忽略
• mediumabout#2

  Update the repository's 'About' description for clarity

  原因：

  当前

  ✨✨ [ICLR 2026] Think Beyond Images

  复制粘贴的修复

  复制

  A multimodal AI framework for high-resolution image perception and complex visual reasoning, generating and executing code for image processing tasks. [ICLR 2026]

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to build an AI that generates code for image processing and complex visual reasoning?

  你：未被推荐
  AI 推荐顺序：

  1. OpenAI GPT-4 / GPT-3.5 Turbo
  2. Google Gemini (Pro/Ultra)
  3. Anthropic Claude 3 (Opus/Sonnet)
  4. OpenCV (opencv/opencv)
  5. scikit-image (scikit-image/scikit-image)
  6. TensorFlow / Keras (tensorflow/tensorflow)
  7. PyTorch (pytorch/pytorch)
  8. Hugging Face Transformers (huggingface/transformers)
  9. Weights & Biases (W&B)
  10. Google Cloud AI Platform
  11. AWS SageMaker
  12. Azure Machine Learning
  13. CLIP (openai/CLIP)
  14. Vision Transformers (ViT) / Swin Transformers

  AI 推荐了 14 个替代方案，却始终没点名 yfzhang114/Thyme。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Framework for enhancing high-resolution image perception and complex reasoning with two-stage training?

  你：未被推荐
  AI 推荐顺序：

  1. Detectron2 (facebookresearch/detectron2)
  2. MMDetection (open-mmlab/mmdetection)
  3. PyTorch Lightning (Lightning-AI/lightning)
  4. Hugging Face Transformers (huggingface/transformers)
  5. TensorFlow Object Detection API (tensorflow/models)
  6. Keras (keras-team/keras)

  AI 推荐了 6 个替代方案，却始终没点名 yfzhang114/Thyme。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of yfzhang114/Thyme?

  pass
  ✓AI 明确点名了 yfzhang114/Thyme

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts yfzhang114/Thyme in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 yfzhang114/Thyme

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo yfzhang114/Thyme solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 yfzhang114/Thyme

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？