| mrgloom/awesome-semantic-segmentation |
9,908 |
|
0 |
0 |
almost 5 years ago |
0 |
|
13 |
|
|
| :metal: awesome-semantic-segmentation |
| zalandoresearch/fashion-mnist |
9,856 |
|
0 |
0 |
about 4 years ago |
0 |
|
24 |
mit |
Python |
| A MNIST-like fashion product database. Benchmark :point_down: |
| open-mmlab/mmaction2 |
4,904 |
|
0 |
1 |
over 1 year ago |
28 |
October 12, 2023 |
242 |
apache-2.0 |
Python |
| OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark |
| foolwood/benchmark_results |
2,992 |
|
0 |
0 |
almost 6 years ago |
0 |
|
17 |
|
|
| Visual Tracking Paper List |
| graphdeeplearning/benchmarking-gnns |
2,196 |
|
0 |
0 |
almost 3 years ago |
0 |
|
6 |
mit |
Jupyter Notebook |
| Repository for benchmarking graph neural networks |
| szilard/benchm-ml |
1,839 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
mit |
R |
| A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.). |
| epoberezkin/fast-deep-equal |
1,755 |
|
587,978 |
3,877 |
over 2 years ago |
14 |
June 08, 2020 |
29 |
mit |
JavaScript |
| The fastest deep equality check with Date, RegExp and ES6 Map, Set and typed arrays support |
| ContinualAI/avalanche |
1,583 |
|
0 |
1 |
about 2 years ago |
6 |
July 28, 2023 |
104 |
mit |
Python |
| Avalanche: an End-to-End Library for Continual Learning based on PyTorch. |
| bfelbo/DeepMoji |
1,462 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
mit |
Python |
| State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc. |
| sepandhaghighi/pycm |
1,413 |
|
5 |
13 |
about 2 years ago |
44 |
June 07, 2023 |
12 |
mit |
Python |
| Multi-class confusion matrix library in Python |
