ProxTorch Documentation

Welcome to ProxTorch! 🚀

Unleashing the power of proximal operators, seamlessly integrated with PyTorch.

Table of Contents

📘 User Guide

• Introduction
  • What are Proximal Operators and Constraints?
  • How Do Proximal Operators and Constraints Bolster Gradient Descent?
  • Why ProxTorch on PyTorch?
• Installation
  • Using pip
  • From Source
  • Dependencies
• Usage
  • Step-by-Step Guide to Using ProxTorch
  • Broadening Your Scope

📚 Tutorials

• ProxTorch Example Gallery

📖 API Reference

• proxtorch.operators
• proxtorch.constraints

📝 Contributing

• How to Contribute to ProxTorch
  • Setting Up Your Environment
  • Making Changes
  • Documentation
  • Tests
  • Pull Request Review
• ProxTorch License

Useful Links

• General Index

• Module Index

• Search

Let’s elevate your deep learning operations with ProxTorch!