Riemann

Getting Started

  • Introduction

Tensors

  • Tensor Basics
  • Einstein Summation Convention (einsum)

Automatic Differentiation

  • Automatic Differentiation Basics

Neural Networks

  • How to Build a Neural Network
  • Module Class and Containers
  • Activation Functions
  • Loss Functions
  • Initialization Module
  • Basic Network Layers
  • Module Hook Management
  • Convolutional Networks
  • Transformer
  • KAN Networks

Optimization

  • Optimizers
  • Learning Rate Schedulers

Computer Vision

  • Computer Vision

Linear Algebra

  • Linear Algebra

API Reference

  • API Reference

Community & Contributing

  • Contributing
  • License
Riemann
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