PyTorch is Facebook's open-source deep learning framework, popular in
PyTorch is a deep learning framework that emphasizes flexibility and ease of use, making it popular for research and experimentation. It provides an intuitive Python API and dynamic computation graphs.
Dynamic Computation Graphs
Multi-dimensional arrays similar to NumPy arrays, but with GPU support
Automatic differentiation engine that computes gradients for backpropagation.
Base class for all neural network modules, making it easy to define custom architectures.
PyTorch is commonly used for reinforcement learning research and imple
Library for computer vision tasks, including datasets, models, and transforms.
Utilities for NLP, including text processing and datasets.
Frequently asked questions
What is PyTorch?
Profile code to identify bottlenecks?
Why is PyTorch intuitive and Pythonic?
Intuitive and Pythonic?
Is PyTorch excellent for research?
Excellent for research?
What are dynamic computation graphs in PyTorch?
Dynamic computation graphs?
▶ Try it live
Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.