PyTorch Notebooks

A collection of PyTorch notebooks for studying and practicing deep learning. Each notebook contains a set of exercises that are specifically designed to engage and encourage the learner to conduct more research and experiments. (Work in progress!)

Name	Description	Category	Level	Notebook	Blog
Implementing a Logistic Regression Model from Scratch	Learn how to implement the fundamental building blocks of a neural network using PyTorch.	Machine Learning	Beginner		read
PyTorch Hello World	Create a hello world for deep learning using PyTorch.	Deep Learning	Beginner		read
PyTorch Quickstart	Learn about PyTorch's basic building blocks to build and train a CNN model for image classification.	Image Classification	Intermediate		read
A Gentle Introduction to PyTorch 1.2	This comprehensive tutorial aims to introduce the fundamentals of PyTorch building blocks for training neural networks.	Neural Networks	Beginner		read
Building RNNs is Fun with PyTorch	This notebook teaches you how to build a recurrent neural network (RNN) with a single layer, consisting of one single neuron. It also teaches how to implement a simple RNN-based model for image classification.	Neural Networks	Beginner		read
A Simple Neural Network from Scratch with PyTorch and Google Colab	In this tutorial we implement a simple neural network from scratch using PyTorch.	Neural Networks	Beginner		read
NLP Basics	In this tutorial we show the basics of preparing your textual data for NLP.	NLP	Beginner		coming soon!
Deep Learning for NLP	In this notebook we are going to use deep learning (RNN model) for approaching NLP tasks.	Deep Learning NLP	Beginner		coming soon!
Neural Machine Translation with Attention using PyTorch	In this notebook we are going to perform neural machine translation using a deep learning based approach and attention mechanism.	Deep Learning NLP	Advanced		coming soon!
Fine-tuning BERT Language Model for English Sentiment Classification	In this tutorial we demonstrate how to fine-tune BERT-based model for sentiment classification.	Deep Learning NLP	Intermediate		coming soon!
Fine-tuning BERT Language Model for English Emotion Classification	In this tutorial we demonstrate how to fine-tune BERT-based model for multiclass emotion classification.	Deep Learning NLP	Advanced		coming soon!
Text Similarity Search using Pretrained Language Models	In this tutorial we show how to build a simple text similarity search application using pretrained language models and Elasticsearch.	Deep Learning NLP Applications	Advanced		coming soon!
Spinal Cord Gray Matter Segmentation Using PyTorch	In this notebook we are going to explore a medical imaging open-source library known as MedicalTorch, which was built on top of PyTorch.	Deep Learning in Medicine	Advanced		coming soon!