Tagged
deep-learning
- ✏️ Gumbel Softmax Differentiable discrete sampling via the Gumbel-Softmax reparameterization.
- 📃 Different Normalization Comparing BatchNorm, LayerNorm, InstanceNorm, and GroupNorm with key papers.
- 🤗 Introduction to Generative Models Taxonomy of generative models: VAEs, GANs, flows, and diffusion.
- 📚 Using Custom Dataset in PyTorch Building Dataset and DataLoader for custom data in PyTorch.
- 💡 Introduction to Transformer Why Transformers work, walking through attention from first principles.
- 📝 Common PyTorch Code Snippets Handy PyTorch snippets for device switching, layers, and training utilities.
- ⚕️ Brief introduction of the Tensor in PyTorch Initialization, attributes, and operations of PyTorch tensors.