UvA DL Notebooks
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指南

  • Guide 1: Working with the Lisa cluster
  • 指南 2：使用 PyTorch 研究项目
  • Guide 3: Debugging in PyTorch
  • Guide 4: Research Projects with JAX

Deep Learning 1 (PyTorch)

  • Tutorial 2: Introduction to PyTorch
  • Tutorial 3: Activation Functions
  • Tutorial 4: Optimization and Initialization
  • Tutorial 5: Inception, ResNet and DenseNet
  • Tutorial 6: Transformers and Multi-Head Attention
  • Tutorial 7: Graph Neural Networks
  • Tutorial 8: Deep Energy-Based Generative Models
  • Tutorial 9: Deep Autoencoders
  • Tutorial 10: Adversarial attacks
  • Tutorial 11: Normalizing Flows for image modeling
  • Tutorial 12: Autoregressive Image Modeling
  • Tutorial 15: Vision Transformers
  • Tutorial 16: Meta-Learning - Learning to Learn
  • Tutorial 17: Self-Supervised Contrastive Learning with SimCLR
UvA DL Notebooks
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