omerbsezer/Fast-Pytorch
A collection of Jupyter notebooks providing hands-on tutorials for PyTorch deep learning, featuring implementations of CNN, RNN, DCGAN, and transfer learning models.
Not currently ranked — collecting fresh signals.
star history
The repository contains tutorials covering PyTorch fundamentals including neural network layers, optimizers, loss functions, and torchvision utilities. It includes practical implementations of deep learning architectures such as multilayer perceptrons, convolutional neural networks, recurrent neural networks, DCGANs, and transfer learning models. All code examples can be run on Google Colab with GPU support.
Frequently asked
- What is omerbsezer/Fast-Pytorch?
- A collection of Jupyter notebooks providing hands-on tutorials for PyTorch deep learning, featuring implementations of CNN, RNN, DCGAN, and transfer learning models.
- Is Fast-Pytorch open source?
- Yes — omerbsezer/Fast-Pytorch is an open-source project tracked on heatdrop.
- What language is Fast-Pytorch written in?
- omerbsezer/Fast-Pytorch is primarily written in Jupyter Notebook.
- How popular is Fast-Pytorch?
- omerbsezer/Fast-Pytorch has 428 stars on GitHub.
- Where can I find Fast-Pytorch?
- omerbsezer/Fast-Pytorch is on GitHub at https://github.com/omerbsezer/Fast-Pytorch.