This collection includes:
🫡 PyTorch fundamentals and
torch.nn;🫡 Computer Vision and transfer learning;
🫡 NLP and RNNs;
🫡 Reinforcement Learning;
🫡
torch.compile
and ONNX;
🫡 Distributed Training, FSDP, and Tensor Parallel;
🫡 Profiling and memory optimization;
🫡 Model serving and Ray.
A useful resource for both beginners and those already working with PyTorch in production.
⛓https://docs.pytorch.org/tutorials/
