Packages

•  package root
•  package lamp

  Lamp provides utilities to build state of the art machine learning applications

  Lamp provides utilities to build state of the art machine learning applications

  Overview

  Notable types and packages:

  • lamp.STen is a memory managed wrapper around aten.ATen, an off the heap, native n-dimensionl array backed by libtorch.
  • lamp.autograd implements reverse mode automatic differentiation.
  • lamp.nn contains neural network building blocks, see e.g. lamp.nn.Linear.
  • lamp.data.IOLoops implements a training loop and other data related abstractions.
  • lamp.knn implements k-nearest neighbor search on the CPU and GPU
  • lamp.umap.Umap implements the UMAP dimension reduction algorithm
  • lamp.onnx implements serialization of computation graphs into ONNX format
  • lamp.io contains CSV and NPY readers

  How to get data into lamp

  Use one of the file readers in lamp.io or one of the factories in lamp.STen$.

  How to define a custom neural network layer

  See the documentation on lamp.nn.GenericModule

  How to compose neural network layers

  See the documentation on lamp.nn

  How to train models

  See the training loops in lamp.data.IOLoops

root package 