/the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

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This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch. Feel free to make a pull request to contribute to this list.

Table Of Contents

Tutorials

Large Language Models (LLMs)

Tabular Data

Visualization

Explainability

Object Detection

Long-Tailed / Out-of-Distribution Recognition

Activation Functions

Energy-Based Learning

Missing Data

Architecture Search

Continual Learning

Optimization

Quantization

Quantum Machine Learning

Neural Network Compression

Facial, Action and Pose Recognition

Super resolution

Synthetesizing Views

Voice

Medical

3D Segmentation, Classification and Regression

Video Recognition

Recurrent Neural Networks (RNNs)

Convolutional Neural Networks (CNNs)

Segmentation

Geometric Deep Learning: Graph & Irregular Structures

Sorting

Ordinary Differential Equations Networks

Multi-task Learning

GANs, VAEs, and AEs

Unsupervised Learning

Adversarial Attacks

Style Transfer

Image Captioning

Transformers

Similarity Networks and Functions

Reasoning

General NLP

Question and Answering

Speech Generation and Recognition

Document and Text Classification

Text Generation

Text to Image

Translation

Sentiment Analysis

Deep Reinforcement Learning

Deep Bayesian Learning and Probabilistic Programmming

Spiking Neural Networks

Anomaly Detection

Regression Types

Time Series

Synthetic Datasets

Neural Network General Improvements

DNN Applications in Chemistry and Physics

New Thinking on General Neural Network Architecture

Linear Algebra

API Abstraction

Low Level Utilities

PyTorch Utilities

PyTorch Video Tutorials

Community

To be Classified

Links to This Repository

Contributions

Do feel free to contribute!

You can raise an issue or submit a pull request, whichever is more convenient for you. The guideline is simple: just follow the format of the previous bullet point or create a new section if it's a new category.