A handful of Deep learning implementation using a hot new framework: PyTorch
-
Updated
May 28, 2018 - Jupyter Notebook
A handful of Deep learning implementation using a hot new framework: PyTorch
A series of notebooks created for learning PyTorch
Udacity Secure and Private AI Scholarship Challenge from Facebook
This is a portfolio repository that will track my deep learning progress in it's early phases.
PyTorch tutorials
A collection of Jupyter notebooks for common machine learning architectures in Pytorch.
Pytorch implementation of Transformer wrapped with Pytorch Lightning
Instructions on how to use PyTorch on AMD GPU with Linux
iPython notebooks & slides for Introduction to Machine Learning with PyTorch class in FMI Plovdiv (2018)
Code Base of PyTorch Tutorials and Code Snippets on Pytorch at nsikakimoh.com
PyTorch is a popular open-source machine learning library that provides tools for building and training neural networks. One of the key features of PyTorch is its ability to automatically compute gradients for tensor operations, which is essential for efficient training of neural networks.
pytorch - Learn pytorch framework and Neural Networks in simple steps.
An attempt at neural style transfer in PyTorch on a selfie of myself
Example Models of Deep Learning and Library for Quick Deep Learning
Concepts and details about using PyTorch for deep learning, along with concrete examples, are provided.
mnist mlp in pytorch and tensorflow
Codes crafted during the PyTorch Scholarship Challenge, from Facebook and Udacity
Deep Learning Tutorials using PyTorch.
Add a description, image, and links to the pytorch-tutorials topic page so that developers can more easily learn about it.
To associate your repository with the pytorch-tutorials topic, visit your repo's landing page and select "manage topics."