PyTorch
PyTorch is an open-source machine learning framework based on the Torch library. It provides dynamic computational graphs and GPU acceleration, making it popular for research and production ML.
Key Concepts
- Tensors and autograd
- Dynamic computational graphs
- nn.Module architecture
- DataLoaders and Datasets
- TorchScript for deployment
Common Use Cases
- Deep learning research
- Computer vision
- Natural language processing
- Reinforcement learning
- Production inference
Best Practices
- Use DataLoaders for batching
- Leverage GPU acceleration
- Use mixed precision (FP16)
- Implement proper logging
- Use PyTorch Lightning
Resources
- PyTorch.org: pytorch.org/docs
- Related Skills: machine-learning, deep-learning, tensorboard