| addfor/tutorials |
415 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
other |
Jupyter Notebook |
| lrjconan/LanczosNetwork |
271 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
mit |
Python |
| Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019 |
| naszilla/naszilla |
269 |
|
0 |
0 |
over 3 years ago |
1 |
November 15, 2020 |
3 |
apache-2.0 |
Python |
| Naszilla is a Python library for neural architecture search (NAS) |
| CeLuigi/models-comparison.pytorch |
141 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
bsd-3-clause |
Python |
| Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures |
| cyh1112/GraphNormalization |
78 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
other |
Jupyter Notebook |
| Learning Graph Normalization for Graph Neural Networks |
| neulab/dynet-benchmark |
54 |
|
0 |
0 |
over 8 years ago |
0 |
|
4 |
|
Python |
| Benchmarks for DyNet |
| automl/nas_benchmarks |
43 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
bsd-3-clause |
Python |
| shidong-ai/DNNMark |
24 |
|
0 |
0 |
almost 5 years ago |
0 |
|
3 |
mit |
C++ |
| Benchmarks of Deep Neural Networks |
| stanleybak/nnenum |
20 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
gpl-3.0 |
Python |
| Neural Network Enumeration Tool |
| dian-lun-lin/SNIG |
16 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
|
C++ |
| SNIG: Accelerated Large Sparse Neural Network Inference using Task Graph Parallelism |
