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

Python Module Index

Python Module Index

r


	r
	`riemann`
	`riemann.autograd`
	`riemann.cuda`
	`riemann.dtype`
	`riemann.gradmode`
	`riemann.serialization`
	`riemann.vision`
	`riemann.vision.transforms`

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