Skip to main content

High level GPU simulations of low level device characteristics in ML algorithms

Project description

Welcome to LowPy (Pre-release)!

LowPy is a high level GPU simulator of low level device characteristics in machine algorithms. It seeks to streamline the investigation process when considering memristive and other novel devices for implementing a machine learning algorithm in hardware. By using the familiar Keras syntax, it will be second nature to write GPU-optimized code to push your algorithm to its limits.

Features

The aim is to focus first on the algorithms most published on in the field of neuromorphic computing, for both static and time series datasets.

Datasets

  • MNIST

Algorithms

  • Single Layer Perceptron (SLP)
  • Multi-Layer Perceprton (MLP)

Activation Functions

  • Sigmoid

Optimization Functions

  • Stochastic Gradient Descent (SGD)
  • SGD with Momentum

Initialization Distributions

  • Uniform
  • Normal

Device Characteristics

  • Write Variability

Requirements

The following are required to use LowPy:

  • GPU: NVIDIA
  • OS: Linux (should work on Windows, not tested)
  • Python 3.0 or newer
  • PyCUDA

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lowpy-0.1.0.tar.gz (6.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lowpy-0.1.0-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file lowpy-0.1.0.tar.gz.

File metadata

  • Download URL: lowpy-0.1.0.tar.gz
  • Upload date:
  • Size: 6.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/51.3.3 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for lowpy-0.1.0.tar.gz
Algorithm Hash digest
SHA256 ad836e066f7dc912fd0c81270903593fb0f51bbc664bf523c3845d9bbd525c99
MD5 224c00c09f0d2bb9de808afc984fc944
BLAKE2b-256 b3dcb8f2385815587a79e16770f00a0c5046743bcd1ccd1e953170eae7027438

See more details on using hashes here.

File details

Details for the file lowpy-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: lowpy-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 7.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/51.3.3 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for lowpy-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9f14dee8eccf7cdbd829562e0b243a69a3b4efb13ae583cbbd0fa4bfb14cfa56
MD5 bb8a585fa8d218df115d7435ff9efc3e
BLAKE2b-256 9efceab5002c2f8cd3ddbb32bb9518afb13949fec7015c46b8092ecda89c097d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page