roseNNa

    Fast, minimally-invasive neural network inference library

    Language: python

    Author: Ava Jones (@ava)

    9 stars · 353 views

    Files

    • doc (txt)
    • rosenna.png (image)
    • opensource.md (md)
    • methodology.md (md)
    • goldenFiles (txt)
    • avgpool_basic (txt)
    • avgpool_basic.py (py)
    • gemm_big (txt)
    • Makefile (txt)
    • modelParserONNX.py (py)
    • objFiles (txt)
    • README.md (md)
    • gemm_big.py (py)
    • conv_padding-stride (txt)
    • conv_padding-stride.py (py)
    • lstm_gemm_hid (txt)
    • lstm_gemm_hid.py (py)
    • mnist (txt)
    • mnist.py (py)
    • droplet (txt)
    • droplet.py (py)
    • conv_basic (txt)
    • conv_basic.py (py)
    • lstm_output (txt)
    • lstm_output.py (py)
    • batchnet (txt)
    • batchnet.py (py)
    • lstm_cell (txt)
    • lstm_cell.py (py)
    • lstm_gemm (txt)
    • lstm_gemm.py (py)
    • maxpool_strides (txt)
    • maxpool_strides.py (py)
    • maxpool_basic (txt)
    • maxpool_basic.py (py)
    • gemm_small (txt)
    • gemm_small.py (py)
    • maxpool_padding (txt)
    • maxpool_padding.py (py)
    • conv_padding (txt)
    • conv_padding.py (py)
    • conv_strides (txt)
    • conv_strides.py (py)
    • test (txt)
    • Makefile (txt)
    • testChecker.py (py)
    • nnLSTM.py (py)
    • run.sh (sh)
    • fLibrary (txt)
    • LICENSE (txt)
    • examples (txt)
    • cAPI.c (c)
    • run_basic_maclinux.sh (sh)
    • .github (github)
    • workflows (txt)
    • CI.yml (yml)
    • ATTRIBUTION.md (markdown)

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