| lufficc/SSD |
1,448 |
|
0 |
0 |
over 2 years ago |
1 |
October 28, 2019 |
40 |
mit |
Python |
| High quality, fast, modular reference implementation of SSD in PyTorch |
| PaddlePaddle/Anakin |
492 |
|
0 |
0 |
about 6 years ago |
0 |
|
68 |
apache-2.0 |
C++ |
| High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices. |
| yatengLG/SSD-Pytorch |
335 |
|
0 |
0 |
almost 4 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| SSD目标检测算法(Single Shot MultiBox Detector)(简单,明了,易用,全中文注释,单机多卡训练,视频检测)( If you train the model on a single computer and mutil GPU, this program will be your best choice , easier to use and easier to understand ) |
| enfiskutensykkel/ssd-gpu-dma |
262 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
bsd-2-clause |
C |
| Build userspace NVMe drivers and storage applications with CUDA support |
| yatengLG/Retinanet-Pytorch |
160 |
|
0 |
0 |
about 5 years ago |
0 |
|
17 |
|
Python |
| Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU) |
| bubbliiiing/ssd-tf2 |
118 |
|
0 |
0 |
over 3 years ago |
0 |
|
13 |
mit |
Python |
| 这是一个ssd-tf2（tensorflow2）的源码，可以用于训练自己的模型。 |
| charlesq34/DIY-Deep-Learning-Workstation |
115 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
|
| Build a deep learning workstation from scratch (HW & SW). |
| bubbliiiing/mobilenet-ssd-keras |
95 |
|
0 |
0 |
over 3 years ago |
0 |
|
13 |
mit |
Python |
| 这是一个mobilenet-ssd-keras的源码，可以用于训练自己的轻量级ssd模型。 |
| bubbliiiing/Mobilenet-SSD-Essay |
70 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| 这是Mobilenet-SSD的论文版，可用于训练与预测。 |
| dlyldxwl/Stronger-One-stage-detector-with-much-Tricks |
40 |
|
0 |
0 |
almost 7 years ago |
0 |
|
4 |
|
Python |
| Stronger SSD & YOLO v3 |
