| zalandoresearch/fashion-mnist |
9,856 |
|
0 |
0 |
about 4 years ago |
0 |
|
24 |
mit |
Python |
| A MNIST-like fashion product database. Benchmark :point_down: |
| dblalock/bolt |
2,312 |
|
0 |
0 |
over 3 years ago |
4 |
June 07, 2017 |
19 |
mpl-2.0 |
C++ |
| 10x faster matrix and vector operations |
| 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.). |
| 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 |
| PKU-Alignment/omnisafe |
1,095 |
|
0 |
0 |
about 1 year ago |
8 |
June 01, 2023 |
7 |
apache-2.0 |
Python |
| JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research. |
| MedMNIST/MedMNIST |
903 |
|
0 |
0 |
about 2 years ago |
7 |
August 17, 2023 |
1 |
apache-2.0 |
Python |
| [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification |
| mims-harvard/TDC |
889 |
|
0 |
4 |
over 2 years ago |
32 |
January 27, 2023 |
34 |
mit |
Jupyter Notebook |
| Therapeutics Data Commons: Artificial Intelligence Foundation for Therapeutic Science |
| huggingface/torchMoji |
882 |
|
0 |
0 |
almost 3 years ago |
0 |
|
21 |
mit |
Python |
| 😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc |
| oxwhirl/smac |
881 |
|
0 |
0 |
over 2 years ago |
0 |
|
12 |
mit |
Python |
| SMAC: The StarCraft Multi-Agent Challenge |
