| PetrochukM/PyTorch-NLP |
2,180 |
|
9 |
10 |
almost 3 years ago |
19 |
November 04, 2019 |
24 |
bsd-3-clause |
Python |
| Basic Utilities for PyTorch Natural Language Processing (NLP) |
| spacetimeengineer/spacetimeengine |
131 |
|
0 |
0 |
about 3 years ago |
10 |
February 21, 2019 |
15 |
other |
Python |
| A Python utility for analyzing a given solution to the Einstein's field equations. Built on Sympy. |
| xAct-contrib/examples |
26 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
Mathematica |
| Example xAct notebooks with common usage patterns |
| ashislaha/CarDetection-Keras |
13 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Python |
| "Car Detection" is trained in Keras using Tensorflow as back-end. It's taking an image as input & gives a binary decision whether a car is present in the image or not. |
| TsaftarisCollaboratory/CSDisentanglement_Metrics_Library |
10 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| This repository constists of the implementations of the Distance Correlation (DC) and Information Over Bias (IOB) metrics proposed in [link]. The two metrics can be used to assess the level of disentanglement between spatial content and vector style representations. Both metrics are ready to use with PyTorch and TensorFlow implementations. |
| VD44/Rouge-L-Tensorflow |
6 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Python |
| ROUGE L metric implementation using tensorflow ops |
