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ranc

https://github.com/ua-rcl/ranc

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
Statistics
  • Stars: 46
  • Watchers: 2
  • Forks: 13
  • Open Issues: 7
  • Releases: 0
Created over 6 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

RANC

RANC is a full featured environment for experimentation with neuromorphic architectures. See https://ua-rcl.github.io/projects/ranc for more details.

Sub-projects:

  • experiments: this directory contains folders for individual example experiments in the RANC ecosystem
  • hardware: this directory contains the FPGA hardware project for building a RANC IP core in Vivado
  • simulator: this directory contains the RANC software simulator
  • software: this directory contains a set of software utilities including the RANC Tensorflow environment and utilities for creating various simulation/emulation input files

Owner

  • Name: UA-RCL
  • Login: UA-RCL
  • Kind: organization
  • Location: Tucson

University of Arizona Reconfigurable Computing Lab

GitHub Events

Total
  • Watch event: 7
  • Fork event: 1
Last Year
  • Watch event: 7
  • Fork event: 1

Dependencies

.github/workflows/hardware_unit_tests.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v1 composite
software/rancutils/setup.py pypi
  • bitstring *
  • imageio *
  • numpy *
  • pandas *
software/tealayers/tealayer1.0/setup.py pypi
  • keras *
  • numpy *
  • tensorflow *
software/tealayers/tealayer2.0/setup.py pypi
  • Pillow *
  • numpy *
  • tensorflow-gpu ==2.0.0b1
software/vmmmap/setup.py pypi
  • bitstring *
  • numpy *