| openai/baselines |
14,949 |
|
37 |
2 |
over 2 years ago |
6 |
February 26, 2018 |
497 |
mit |
Python |
| OpenAI Baselines: high-quality implementations of reinforcement learning algorithms |
| adap/flower |
3,545 |
|
0 |
6 |
about 2 years ago |
28 |
November 28, 2023 |
374 |
apache-2.0 |
Python |
| Flower: A Friendly Federated Learning Framework |
| google/uncertainty-baselines |
1,324 |
|
0 |
0 |
over 2 years ago |
6 |
July 27, 2020 |
120 |
apache-2.0 |
Python |
| High-quality implementations of standard and SOTA methods on a variety of tasks. |
| una-dinosauria/3d-pose-baseline |
956 |
|
0 |
0 |
over 5 years ago |
0 |
|
18 |
mit |
Python |
| A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17. |
| deepdrive/deepdrive |
845 |
|
0 |
0 |
over 2 years ago |
0 |
|
39 |
other |
Python |
| Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving |
| una-dinosauria/human-motion-prediction |
270 |
|
0 |
0 |
almost 7 years ago |
0 |
|
27 |
mit |
Python |
| Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17. |
| mead-ml/mead-baseline |
245 |
|
0 |
0 |
over 2 years ago |
0 |
|
11 |
apache-2.0 |
Python |
| Deep-Learning Model Exploration and Development for NLP |
| oandrienko/fast-semantic-segmentation |
184 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Python |
| ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation |
| yangyanli/DO-Conv |
159 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
mit |
Python |
| Depthwise Over-parameterized Convolutional Layer |
| shenweichen/Bytedance_ICME2019_challenge_baseline |
136 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
mit |
Python |
| Bytedance_ICME2019_challenge_baseline |
