| guotong1988/NL2SQL-RULE |
177 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
|
Python |
| Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179 |
| NVlabs/Taylor_pruning |
169 |
|
0 |
0 |
over 6 years ago |
0 |
|
3 |
other |
Python |
| Pruning Neural Networks with Taylor criterion in Pytorch |
| mdv3101/CDeCNet |
111 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images |
| d-li14/HBONet |
87 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| [ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions |
| huawei-noah/multi_hyp_cc |
62 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
other |
Python |
| [CVPR2020] A Multi-Hypothesis Approach to Color Constancy |
| zhuchen03/VIBNet |
53 |
|
0 |
0 |
over 3 years ago |
0 |
|
3 |
mit |
Python |
| Compressing Neural Networks using the Variational Information Bottleneck |
| FateScript/nnprof |
36 |
|
0 |
0 |
over 5 years ago |
2 |
January 11, 2021 |
0 |
apache-2.0 |
Python |
| profile tools for pytorch nn models |
| abdoelsayed2016/TNCR_Dataset |
21 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142 |
| sdrobert/pydrobert-kaldi |
14 |
|
0 |
1 |
over 2 years ago |
8 |
February 26, 2023 |
0 |
apache-2.0 |
C++ |
| SWIG bindings for Kaldi I/O, built with Conda |
| jfzhang95/Water-Table-Depth-Prediction-PyTorch |
11 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
Python |
| Implement paper using PyTorch |
