sgrvinod/Deep-Tutorials-for-PyTorch

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In-depth tutorials for implementing deep learning models on your own with PyTorch.

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README

Deep Tutorials for PyTorch

This is a series of in-depth tutorials I'm writing for implementing cool deep learning models on your own with the amazing PyTorch library.

Basic knowledge of PyTorch and neural networks is assumed.

If you're new to PyTorch, first read Deep Learning with PyTorch: A 60 Minute Blitz and Learning PyTorch with Examples.

24 Apr 2023: I've just completed the Super-Resolution and Transformers tutorials.

09 Dec 2023: Interested in chess or transformers? Check out Chess Transformers.

In each tutorial, we will focus on a specific application or area of interest by implementing a model from a research paper.

Application	Paper	Tutorial	Also Learn About	Status
Image Captioning	Show, Attend, and Tell	a PyTorch Tutorial to Image Captioning	• encoder-decoder architecture • attention • transfer learning • beam search	🟢 complete
Sequence Labeling	Empower Sequence Labeling with Task-Aware Neural Language Model	a PyTorch Tutorial to Sequence Labeling	• language models • character RNNs • multi-task learning • conditional random fields • Viterbi decoding • highway networks	🟢 complete
Object Detection	SSD: Single Shot MultiBox Detector	a PyTorch Tutorial to Object Detection	• single-shot detection • multiscale feature maps • priors • multibox • hard negative mining • non-maximum suppression	🟢 complete
Text Classification	Hierarchical Attention Networks for Document Classification	a PyTorch Tutorial to Text Classification	• hierarchical attention	🟡 code complete
Super-Resolution	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	a PyTorch Tutorial to Super-Resolution	• GANs — this is also a GAN tutorial • residual connections • sub-pixel convolution • perceptual loss	🟢 complete
Machine Translation	Attention Is All You Need	a PyTorch Tutorial to Transformers	• transformers • multi-head attention • positional embeddings • encoder-decoder architecture • byte pair encoding • beam search	🟢 complete
Semantic Segmentation	SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers	a PyTorch Tutorial to Semantic Segmentation	N/A	🔴 planned