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)