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https://github.com/dair-ai/pytorch_notebooks
🔥 A collection of PyTorch notebooks for learning and practicing deep learning
https://github.com/dair-ai/pytorch_notebooks
deep-learning machine-learning nlp pytorch
Last synced: 3 months ago
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🔥 A collection of PyTorch notebooks for learning and practicing deep learning
- Host: GitHub
- URL: https://github.com/dair-ai/pytorch_notebooks
- Owner: dair-ai
- License: mit
- Fork: true (omarsar/pytorch_notebooks)
- Created: 2020-01-07T02:25:49.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2023-01-08T13:40:58.000Z (almost 2 years ago)
- Last Synced: 2024-04-14T02:53:57.765Z (8 months ago)
- Topics: deep-learning, machine-learning, nlp, pytorch
- Language: Jupyter Notebook
- Homepage:
- Size: 509 KB
- Stars: 520
- Watchers: 29
- Forks: 93
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# 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!