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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: about 2 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 (about 5 years ago)
- Default Branch: master
- Last Pushed: 2023-01-08T13:40:58.000Z (about 2 years ago)
- Last Synced: 2024-04-14T02:53:57.765Z (10 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
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read
PyTorch Hello World
Create a hello world for deep learning using PyTorch.
Deep Learning
Beginner
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read
PyTorch Quickstart
Learn about PyTorch's basic building blocks to build and train a CNN model for image classification.
Image Classification
Intermediate
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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
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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
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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
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read
NLP Basics
In this tutorial we show the basics of preparing your textual data for NLP.
NLP
Beginner
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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
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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
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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
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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
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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
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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
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coming soon!