python-pytorchHow can a Python engineer use PyTorch with GitHub?

PyTorch is an open source machine learning library for Python that can be used with GitHub. It provides a wide range of algorithms for deep learning and other applications. To use PyTorch with GitHub, a Python engineer can:

1. Create a GitHub repository for their PyTorch project.
2. Install PyTorch on their machine using either the Conda or Pip package managers.
3. Write their PyTorch code and commit it to the GitHub repository.

For example, a Python engineer can create a simple PyTorch neural network as follows:

import torch

# Create a neural network
model = torch.nn.Sequential(
    torch.nn.Linear(2, 4),
    torch.nn.ReLU(),
    torch.nn.Linear(4, 1)
)

# Print the model
print(model)

Output example

Sequential(
  (0): Linear(in_features=2, out_features=4, bias=True)
  (1): ReLU()
  (2): Linear(in_features=4, out_features=1, bias=True)
)

Once the code is written, the Python engineer can commit it to the GitHub repository and share it with other engineers.

Helpful links

• PyTorch Documentation
• GitHub Documentation

Edit this code on GitHub