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Advanced AI Research & Development

Master autonomous research AI systems and open-source model development. Learn cutting-edge techniques for building research automation systems and contributing to open-source AI projects.

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🔧 Tools and Resources

In this section

Research Infrastructure#

  • MLflow: Experiment tracking and model management
  • DVC: Data version control for reproducible research
  • ClearML: MLOps platform for research workflows
  • Weights & Biases: Experiment tracking and collaboration

Development Frameworks#

  • PyTorch: Deep learning research framework
  • Hugging Face Transformers: State-of-the-art NLP models
  • OpenAI Gym: Reinforcement learning environments
  • Ray: Distributed computing for AI research

Collaboration Platforms#

  • GitHub: Version control and collaboration
  • arXiv: Preprint repository for research papers
  • Papers with Code: Linking research papers with code implementations
  • Kaggle: Data science competitions and datasets
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