PyTorch
| PyTorch (ai-tool) | |
|---|---|
| Full Name | PyTorch |
| Short Name | PyTorch |
| Description | Open-source deep learning framework that provides tools for building and training neural networks, with strong support for GPU acceleration and a flexible, easy-to-use interface |
| Company | TBD |
| Logo | |
| Web | https://pytorch.org/ |
| Category | AI Data |
| License | TBD |
- Snippet from Wikipedia: PyTorch
PyTorch is an open-source deep learning library, originally developed by Meta Platforms and currently developed with support from the Linux Foundation. The successor to Torch, PyTorch provides a high-level API that builds upon optimised, low-level implementations of deep learning algorithms and architectures, such as the Transformer, or SGD. Notably, this API simplifies model training and inference to a few lines of code. PyTorch allows for automatic parallelization of training and, internally, implements CUDA bindings that speed training further by leveraging GPU resources.
PyTorch utilises the tensor as a fundamental data type, similarly to NumPy. Training is facilitated by a reversed automatic differentiation system, Autograd, that constructs a directed acyclic graph of the operations (and their arguments) executed by a model during its forward pass. With a loss, backpropagation is then undertaken.
As of 2025, PyTorch remains one of the most popular deep learning libraries, alongside others such as TensorFlow and Keras. A number of commercial deep learning architectures are built on top of PyTorch, including ChatGPT, Tesla Autopilot, Uber's Pyro, Hugging Face's Transformers, and Catalyst.