| plaidml/plaidml |
4,533 |
|
0 |
0 |
over 2 years ago |
0 |
|
274 |
apache-2.0 |
C++ |
| PlaidML is a framework for making deep learning work everywhere. |
| qubvel/segmentation_models |
4,514 |
|
12 |
16 |
over 2 years ago |
8 |
January 10, 2020 |
263 |
mit |
Python |
| Segmentation models with pretrained backbones. Keras and TensorFlow Keras. |
| PaddlePaddle/PaddleX |
4,510 |
|
0 |
2 |
over 2 years ago |
54 |
December 10, 2021 |
538 |
apache-2.0 |
Python |
| PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具） |
| Tencent/TNN |
4,210 |
|
0 |
0 |
about 2 years ago |
0 |
|
298 |
other |
C++ |
| TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. |
| open-mmlab/mmpretrain |
3,837 |
|
0 |
10 |
over 1 year ago |
33 |
April 06, 2023 |
215 |
apache-2.0 |
Python |
| OpenMMLab Pre-training Toolbox and Benchmark |
| weiaicunzai/pytorch-cifar100 |
3,687 |
|
0 |
0 |
over 2 years ago |
0 |
|
53 |
|
Python |
| Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet) |
| endernewton/tf-faster-rcnn |
3,595 |
|
0 |
0 |
over 4 years ago |
0 |
|
215 |
mit |
Python |
| Tensorflow Faster RCNN for Object Detection |
| divamgupta/image-segmentation-keras |
2,729 |
|
0 |
0 |
over 2 years ago |
3 |
March 27, 2020 |
158 |
mit |
Python |
| Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras. |
| cleardusk/3DDFA_V2 |
2,554 |
|
0 |
0 |
almost 3 years ago |
0 |
|
90 |
mit |
Python |
| The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020. |
| biubug6/Pytorch_Retinaface |
2,256 |
|
0 |
0 |
almost 3 years ago |
0 |
|
141 |
mit |
Python |
| Retinaface get 80.99% in widerface hard val using mobilenet0.25. |
