| toodef/neural-pipeline |
314 |
|
0 |
0 |
almost 6 years ago |
19 |
February 12, 2019 |
29 |
mit |
Python |
| Neural networks training pipeline based on PyTorch |
| sk1712/gcn_metric_learning |
140 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
mit |
Python |
| Metric Learning with Graph Convolutional Neural Networks |
| wl-research/nubia |
51 |
|
0 |
0 |
about 4 years ago |
6 |
March 31, 2021 |
0 |
mit |
Python |
| NUBIA (NeUral Based Interchangeability Assessor) is a new SoTA evaluation metric for text generation |
| jaideeppatel/Training-Targets-for-Speech-Separation-Neural-Networks |
32 |
|
0 |
0 |
almost 9 years ago |
0 |
|
3 |
|
Python |
| This is a project on working/resolving the speech separation problem using supervised learning on various training targets, building machine learning model using feed forward neural networks. Implementing metrics like STOI and PESQ for speech quality and interpretability metrics. |
| dependable-ai/nn-dependability-kit |
23 |
|
0 |
0 |
over 5 years ago |
0 |
|
16 |
agpl-3.0 |
Jupyter Notebook |
| Toolbox for software dependability engineering of artificial neural networks |
| subramanyamdvss/UnsupNTS |
23 |
|
0 |
0 |
about 5 years ago |
0 |
|
5 |
|
Python |
| Unsupervised Neural Text Simplification |
| JasonSWFu/End-to-end-waveform-utterance-enhancement |
11 |
|
0 |
0 |
almost 7 years ago |
0 |
|
2 |
|
Python |
| End-to-end waveform utterance enhancement for direct evaluation metrics optimization by fully convolutional neural networks (TASLP 2018) |
| CVRL/human-model-similarity |
9 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Python |
| Human-model similarity: A neurobiological evaluation metric for neural network model search |
| michaelneuder/image_quality_analysis |
9 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| a tensorflow implementation of convolutional neural nets to generate image evaluation metrics |
| yaodi833/NeuTraj |
9 |
|
0 |
0 |
almost 7 years ago |
0 |
|
2 |
|
Python |
| Seed guided neural metric learning approach for calculating trajectory similarities |