| github/CodeSearchNet |
2,054 |
|
0 |
0 |
about 4 years ago |
0 |
|
7 |
mit |
Jupyter Notebook |
| Datasets, tools, and benchmarks for representation learning of code. |
| hoangcuong2011/Good-Papers |
231 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
|
| I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers |
| KaiyangZhou/mixstyle-release |
190 |
|
0 |
0 |
over 3 years ago |
0 |
|
8 |
mit |
Python |
| Domain Generalization with MixStyle (ICLR'21) |
| luizgh/sigver_wiwd |
125 |
|
0 |
0 |
about 3 years ago |
0 |
|
4 |
bsd-2-clause |
Jupyter Notebook |
| Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images. |
| iamhankai/attribute-aware-attention |
124 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
|
Python |
| [ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning |
| Tixierae/graph_2D_CNN |
59 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Python |
| Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' |
| shangeth/wavencoder |
36 |
|
0 |
0 |
almost 5 years ago |
11 |
June 06, 2021 |
3 |
mit |
Python |
| WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models with PyTorch backend. |
| UMBCvision/MSF |
26 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
mit |
Python |
| Official code for "Mean Shift for Self-Supervised Learning" |
| p-koo/learning_sequence_motifs |
15 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy |
| neerajwagh/eeg-self-supervision |
15 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
mit |
Python |
| Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight! |
